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by
Hajihashemi, Zahra, author.
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Computational Algorithms for Predictive Health Assessment / Hajihashemi, Zahra, author.
by
Cleary, Alan Michael, author.
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Computational Pan-Genomics: Algorithms and Applications / Cleary, Alan Michael, author.
by
Chen, Di, author.
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Sublinear Algorithms for Massive Data / Chen, Di, author.
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Zhu, Jiahua, author.
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Supervised Learning Algorithms on Factors Impacting Retweet / Zhu, Jiahua, author.
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El Radie, Eihab Salah, author. (orcid)0000-0002-1473-5070
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Algorithms for Mining Maximal Quasi Frequent Subnetworks / El Radie, Eihab Salah, author. (orcid
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Pesántez Cabrera, Paola Gabriela, author. (orcid)0000-0002-5511-1037
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Bipartite Network Community Detection: Algorithms and Applications / Pesántez Cabrera, Paola
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Harrison, Gavin M, author. (orcid)0000-0002-6471-397X
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Block Black Box Algorithms over Small Fields / Harrison, Gavin M, author. (orcid)0000-0002-6471
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Keshavarzi, Parviz, author.
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VLSI implementation of public key cryptography algorithms / Keshavarzi, Parviz, author.
by
He, Hua, author. (orcid)0000-0002-5294-8261
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Architecture, Models, and Algorithms for Textual Similarity / He, Hua, author. (orcid)0000-0002
by
Sheth, Rishit, author.
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Algorithms and Theory for Variational Inference in Two-Level Non-conjugate Models / Sheth, Rishit
by
Liu, Xi, author.
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Robust Multi-Task Learning Algorithms for Predictive Modeling of Spatial and Temporal Data / Liu
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Yang, Fan, author.
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Statistics Meets Optimization: Computational Guarantees for Statistical Learning Algorithms / Yang
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McKay, John, author.
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Tailored Algorithms for Synthetic Aperture Image Formation and Analysis / McKay, John, author.
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Sun, Chen, author.
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Scalable and Accurate Algorithms for Search in Genomic Big Data and Analysis of Genetic Variants /
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Ho, Yang, author.
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Graph Characteristics and Branch-and-Reduce Algorithms for Minimum Vertex Cover / Ho, Yang, author.
by
Ding, Jiaxin, author.
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Geometric Algorithms for Trajectory Sensing, Analysis, and Anonymity / Ding, Jiaxin, author.
by
Tang, Fei, author.
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Evaluating Tactile Fidelity of Resolution, Amplitude, and Algorithms for Grid-Based Tactile Sleeve
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Potnuru, Devajyothi, author.
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High Performance Algorithms for Pan Sharpening Of Images / Potnuru, Devajyothi, author.
by
Hayashi, Koby B., author.
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Parallel Algorithms for Computing and Applications of the Dense Canonical Polyadic Decomposition /
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Patchala, Jagadeesh, author.
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Data Mining Algorithms for Discovering Patterns in Text Collections / Patchala, Jagadeesh, author.
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Jensen, Alathea, author. (orcid)0000-0002-2399-0815
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Self-polar Polytopes and Sequential Importance Sampling Algorithms / Jensen, Alathea, author
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Mattingly, Marshall Paul, III, author.
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Using Citizen Scientists to Inform Machine Learning Algorithms to Automate the Detection of Species
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Rouse, Kathryn, author.
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On the Efficiency of Algorithms for Tensor Decompositions and Their Applications / Rouse, Kathryn
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Das, Sourangshu, author.
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Sentiment Analysis of Twitter Data Using Various Classification Algorithms / Das, Sourangshu
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Etu, Egbe-Etu Emmanuel, author.
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The Impact of Machine Learning Algorithms on Benchmarking Process in Healthcare Service Delivery /
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Dobson, Anthony M., author.
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Performance Evaluation of Machine Learning Algorithms in Apache Spark for Intrusion Detection /
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Kelley, Christopher, author.
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An Empirical Evaluation of Machine Learning Classification Algorithms on User Movement Data /
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Yuan, Yang, author.
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Provable and Practical Algorithms for Non-Convex Problems in Machine Learning / Yuan, Yang, author.
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Franklin, Bryan M., author.
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Automatic Selection of MapReduce Machine Learning Algorithms: A Model Building Approach / Franklin
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Kim, Hong Kyun, author.
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Approximation Algorithms and Hardness of Routing on Disjoint Paths / Kim, Hong Kyun, author.
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Mohamad, Mustafa, author.
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New algorithms for 3D registration using raw point techniques / Mohamad, Mustafa, author.
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Machiraju, Sirisha, author.
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Space Allocation for Materialized Views and Indexes Using Genetic Algorithms / Machiraju, Sirisha
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Selim, Said Mahmoud, author.
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Computer algorithms for scheduling and related problems in the theory of graphs / Selim, Said
by
Roychowdhury, Anirban, author.
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Robust and Scalable Algorithms for Bayesian Nonparametric Machine Learning / Roychowdhury, Anirban
by
Li, Wei, author.
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Deep Learning Based Facial Computing - Data, Algorithms and Applications / Li, Wei, author.
by
Govindarajan, Sriram, author.
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Algorithms for Design Space Exploration and High-Level Synthesis for Multi-FPGA Reconfigurable
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Li, Quan, author.
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Algorithms and Algorithmic Obstacles for Probabilistic Combinatorial Structures / Li, Quan, author.
by
Niu, Ransen, author.
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image editing approach effectively combines the strengths of two prominent images editing algorithms
by
Long, Fan, author.
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that contain many useful patches and efficient search algorithms that prioritize correct patches. By
by
Saeedi, Ardavan, author.
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models; I introduce models and inference algorithms for time series segmentation which are scalable to
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Bency, Mayur Joseph, author.
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space complexity while outperforming popular pathfinding algorithms in complex environments and higher
by
Brown, Matthew S., author. (orcid)0000-0002-6535-8877
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algorithms to the point cloud. The result is a highly adjustable, generalized algorithm to convert raw point
by
Patel, Sahil S., author.
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management algorithms.
by
Kollu, Shanthi, author.
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database, we propose to develop and implement algorithms for identifying (annotating) substructure of RNA
by
Yates, Heath Landon, author.
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algorithms, such as logistic regression, random forests, and artificial neural networks, in the detection of
by
Zhou, Bo, author.
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. Finally, we extend the existing resolution-exact algorithms in robot motion planning to planar polygonal
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Kilicarslan, Mehmet, author.
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investigated in depth. New algorithms have been designed to compute flow divergence for collision warning, and
by
Narayana, Vishali, author.
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This research concentrates on the implementation of algorithms for computation of diffusion of a
by
Sai, Gorthi Venkata Sreeram Phani, author.
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existing algorithms like Brute-force approach and Nearest Neighbor algorithms. Our results show that the
by
Chen, Han, author.
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compared in simulation setting. An R package named TensorRegression was built to present the algorithms
by
Schukei, Robert, author.
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Neural networks, ensemble algorithms, neuroevolution, and genetic algorithms all have shown the
by
Bejgaom, Pradeep, author.
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algorithm is compared with the algorithms mentioned in the literature which shows that our algorithm
by
Maddinani, Sarath Kumar, author.
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validation of these cleaning algorithms using data visualization techniques. The visualized results of the
by
Yanduru, Srinivas Abhishek, author.
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algorithms using data visualization techniques using excel graphs. The visualized results of the data before
by
Holloway, Joshua Keegan, author.
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fidelity. One way to improve the efficiency of such algorithms to meet real-time constraints is to use
by
Whitaker, Nigel Allen, author.
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partitioning of circuits across a number of processing units. Various partitioning algorithms and techniques
by
Hutton, William James, III., author.
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) subject of the thermodynamic formalism of free energy. We investigate two algorithms; one to estimate the
by
Sawada, Kae, author.
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specific geographic regions. Machine learning algorithms such as Logistic Regression, Random Forest, and
by
Porter, Jason, author.
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participating nodes, and resiliency to failures. This dissertation describes DeSARM's architecture, algorithms
by
Taylor, Tyiste B., author.
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deliberative processes to make decisions. Algorithms produce automatic outputs which changes, and in some cases
by
Guan, Meijian, author.
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. The performances of RNNs was compared to five machine learning algorithms including Naive Bayes (NB
by
Wang, Haiyan, author.
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algorithms, various machine learning algorithms including deep neural networks, and optimal state estimator
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Fan, Bohan, author.
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storage and time for transmission. While various algorithms are available, the conflicts between high
by
Walter, Erin C., author.
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finding distance metrics which may be used in machine learning. I present algorithms for extracting
by
Elbeleidy, Saad, author.
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applications we must use MIL algorithms and cannot directly use traditional Machine Learning algorithms.
by
Bush, Jeffrey Alan, author.
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volumes of neuropil electron microscopy data. The new implementation of the algorithms improved their
by
Pasricha, Rajiv, author.
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recommendation tasks by adapting ideas from metric learning and knowledge-graph completion. These algorithms
by
Ho, Nelson, author.
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developed for other applications that may be used. However, the algorithms are slow, and there exists no way
by
Zhao, Grace, author. (orcid)0000-0002-3998-0988
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highly relevant web resources via a set of domain-centric re-ranking algorithms and adaptive ontology
by
Loh, Felix Da Yuan, author.
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techniques exploit the invariant properties of the algorithms used in these applications, and exploit the
by
Cai, Ermao, author.
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algorithms or optimization techniques. To have accurate models, one needs to consider not only technology
by
Angola Abreu, Enrique D., author.
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bins. This process eliminates the need for data dimension reduction algorithms. The method of "pseudo
by
Reddeddy, Sanath Kumar Reddy, author.
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thesis, we will briefly discuss different algorithms and implementations in location servers at different
by
Malleypally, Vinaya, author.
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problem with minimal modifications. Existing advanced and/or parallel versions of tabu search algorithms
by
Nain, Prerna, author.
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will discuss how these algorithms accelerate problem solving when they are used with various arithmetic
by
Gunn, Dylan J., author.
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-Recurrent Neural Network (LSTM-RNN) algorithms. In doing so, we have applied the Distributed TensorFlow framework
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Thakurta, Kristima Guha, author.
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algorithms such as OBS and WINASOBS. Performance of the methods proposed have been tested on the benchmark
by
Kokate, Apurva, author. (orcid)0000-0003-2353-4171
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characteristics for any interpretability mechanism. We demonstrate our framework using two well-known algorithms
by
Jaisinghani, Manish, author.
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The building block of today's world are not materials, but, computers and algorithms with
by
Wang, Jialei, author.
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algorithms on multiple resources: computing, communication, sample and memory, and we need to design
by
Richmond, Corterris C., author.
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algorithms. Wave equations are one of the most important hyperbolic equations which occur in many realistic
by
Bittner, Rachel, author.
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, with the majority of algorithms designed for and tested on a single musical target, even if the
by
Fan, Xinyi, author.
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system uses novel planning algorithms to control a structured-light scanner mounted on a calibrated
by
Nwafor, Ebelechukwu, author.
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of data pruning algorithms to discard non-essential provenance metadata from streaming traces prior
by
Ailijiang, Ailidani, author.
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coordination over wide area networks by utilizing (1) efficient architecture, (2) locality-awareness algorithms
by
Goparaju, Aditya Praneeth, author. (orcid)0000-0002-4827-775X
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In this dissertation, we propose multiple algorithms for mining communities with similarity in
by
Ma, Min, author. (orcid)0000-0002-1816-1772
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significant improvements by using the source application information. (3) Marrying machine learning algorithms
by
Raff, Edward, author.
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cyber security in general. Specifically, we develop new methods inspired by compression algorithms that
by
Metzgar, Jonathan Brian, author.
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. Finally, we contrast the SSPHH algorithm with the process of VPL, PRT, and VCT algorithms. Statistical and
by
Oropallo, William Edward, Jr., author.
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. However, 3D printing requires intelligent data processing and algorithms to go from CAD model to machine
by
Wang, Fengjiao, author.
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algorithms for knowledge discovery and predictive analysis in Location-based Social Networks (LBSN). Through
by
Baptista, Luís Manuel Tremoceiro, author.
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), heuristics based on activity variable in conflict clauses, among others. Algorithms for SAT and Constraint
by
Xing, Fuyong, author.
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efficient sparse encoding algorithms. The fast deformable model is obtained by incorporating a scalable
by
Narne, Narendra Babu, author.
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model uses predictive learning algorithms to predict Rate of penetration and Identify key factors that
by
Govindan, Priya, author.
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interactions make in-memory computations challenging. We present algorithms to compute h-index in various
by
Chen, Desai, author.
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objects manually in the large combinatorial space of possible designs. Computational design algorithms
by
Fang, Xiao, author.
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locally optimal splitting points makes it difficult to theoretically analyze tree-based algorithms. Thus
by
Yu, Xiangyao, author.
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bottleneck, and commits transactions that would be aborted by conventional concurrency control algorithms
by
Mohammadi Ghazi, Reza, author.
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algorithms which are capable of characterizing the statistical dependencies of the relevant random variables
by
Lee, Jeong Eun, author.
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algorithms are developed which determine the best match between measurement data and database information
by
Kutt, Brody, author.
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. Unsupervised algorithms that learn continuously like humans therefore boast increased applicability to these
by
Tripathi, Rashmi, author.
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project, (ii) to cluster the similar functional paths in the call graphs using Machine Learning algorithms
by
Hentrich, David, author.
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architecture. Essentially, the algorithms are independent of the underlying processing fabric and can be
by
Yang, Shan, author.
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deep neural network. I demonstrate the effectiveness of my algorithms by re-purposing the reconstructed
by
Figgatt, Caroline Margaret, author. (orcid)0000-0001-8460-4175
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optimization problems. This thesis discusses experimental results for several quantum algorithms performed on a
by
Jalaly Khalilabadi, Pooya, author.
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time algorithms for finding the equilibria of these markets.
by
Veit, Andreas, author.
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promising in image recognition, where algorithms now often match human performance. Nevertheless, vision
by
Hartog, Jessica, author.
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heterogeneity-aware scheduling algorithms, an inspection of cluster configurations and how they impact these
by
Mahapatra, Suchismit, author. (orcid)0000-0002-1851-4195
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different manifold learning algorithms. Lastly, we provide theoretical bounds for S-Isomap and GP-Isomap as
by
Yan, Pengzhan, author.
Format:
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The dissertation next focuses on NoC routing algorithms. A parameter that can indicate the traffic
by
Guo, Jiayang, author.
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new challenge to cache management algorithms. Existing DRAM-based cache management schemes are only
by
Wang, De, author.
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To unleash the power of big data, efficient algorithms which are scalable to millions of data are
by
Hansley, Earnest Eugene, author.
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researchers have improved upon existing algorithms, some have developed algorithms from scratch to assist with
by
Bayat, Akram, author.
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dimensions of implementing machine learning algorithms for solving two important real world problems are
by
Amand, Joseph St., author.
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a more effective metric typically results in more accurate metric-based machine learning algorithms.
by
Zhou, Samson, author.
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specific items suffices to obtain algorithms for both distinct elements and lP-heavy hitters that is nearly
by
Si, Bing, author.
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health care and develop novel statistical models and machine learning algorithms to tackle these problems
by
Wang, Ke, author.
Format:
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frequent updates of the Earth surfaces. With automated processing and intelligent analysis algorithms
by
Hoang-Vu, Tuan-Anh, author.
Format:
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-computation. Through a carefully-designed data structure and efficient algorithms that leverage GPUs, these queries are
by
Morales, Nicolas M., author.
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algorithms, such as large indoor or outdoor scenes, structural complex scenes, or the prevalence of difficult
by
Chen, Yan, author.
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differentially private algorithms for numerous data analysis tasks. The privacy proof of these algorithms are
by
Davis, Dylan A.P., author.
Format:
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proposed solutions are evaluated against several baseline algorithms from the literature, showing the value
by
Fang, Zhou, author.
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Algorithms we used affect the results significantly.
by
Seyyedhasani, Hasan, author.
Format:
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The results proved both the Clarke-Wright and Tabu Search algorithms always generated feasible
by
Tan, Ben, author.
Format:
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-based, feature-based and model-based algorithms, to tackle the DDTL problem with different problem settings, and
by
Wei, Ying, author.
Format:
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learning algorithms cannot handle. The majority of existing transfer learning algorithms focus on
by
Yu, Bin, author.
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algorithms can be coupled with random sampling to yield sublinear-time algorithms. We make these random
by
Atahary, Tanvir, author.
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This thesis explored several CSP algorithms and deployed two different algorithms on heterogeneous
by
Kasuvajjala, Deepthi, author.
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Disjoint Community Detection is now being perceived as Overlapping-Community Detection. Several algorithms
by
Wang, Ying, author.
Format:
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mitigation measures. Within a potential game framework, we proposed iterative algorithms guaranteed to
by
Zhou, Wenjie, author.
Format:
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. Existing centralized packet scheduling algorithms suffer from the requirement of tight time synchronization
by
Veeramalai, Mallika, author.
Format:
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enables the use of string matching algorithms rather than graph-based techniques. Our TOPSStrings+ model
by
Brugnot, Sylvain, author.
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presented that measure the performance of each of the algorithms introduced in chapter 4 and 5 with respect
by
Boyling, Timothy A., author.
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is solved by stereo-matching algorithms. Frame-rate performance by these algorithms has only
by
Wong, Pak S., author.
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programs based on divide and conquer algorithms. Task granularity is improved by a factor of up to 5 times
by
Prosser, Colin James, author.
Format:
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potential difficulty in the development of algorithms for tracking more complex curves are pointed out. The
by
Taylor, Thomas Philip Muir, author.
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digital filtering. There being several classes of digital filter, and in general many algorithms for
by
Wang, Yulu, author.
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algorithms on them. We also take advantage of word embeddings to reduce the dimensionality of document
by
Rueda, Renan Delvalle, author.
Format:
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, Electron. Electron contains implementations of various scheduling algorithms as well as a dynamic power
by
Xiao, Houping, author. (orcid)0000-0002-6981-8842
Format:
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decomposition based algorithms for detecting inconsistent information in an unsupervised learning setting. In
by
Xie, Jinyu, author.
Format:
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-adaptive algorithms with one-sided errors that test unateness, a natural generalization of monotonicity. The latter
by
Kang, Lei, author.
Format:
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well-tuned models and algorithms. We present a vehicle sensing and control system module called
by
Kurkcu, Abdullah, author.
Format:
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learning algorithms that were implemented using hierarchical clustering methodology improved the accuracy
by
Behzadnia, Peyman, author.
Format:
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-of-the-art parallel stream join algorithm. Also, these two algorithms provide up to around 22 times and 24.5 times
by
Salifu, Abdul-Mumin, author.
Format:
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This work presents several schemes for enhancing RSA encryption algorithms. First, an improved RSA
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