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      Cover image for Advances in Combining Intelligent Methods Postproceedings of the 5th International Workshop CIMA-2015, Vietri sul Mare, Italy, November 2015 (at ICTAI 2015)
      85. 
      Advances in Combining Intelligent Methods Postproceedings of the 5th International Workshop CIMA-2015, Vietri sul Mare, Italy, November 2015 (at ICTAI 2015)
      by 
      Hatzilygeroudis, Ioannis. editor.
      http://dx.doi.org/10.1007/978-3-319-46200-4
      Format: 
      Excerpt: 
      over Neo4j -- Difficulty estimation of exercises on tree-based search algorithms using neuro-fuzzy and
      Cover image for Machine Learning Paradigms Artificial Immune Systems and their Applications in Software Personalization
      86. 
      Machine Learning Paradigms Artificial Immune Systems and their Applications in Software Personalization
      by 
      Sotiropoulos, Dionisios N. author.
      http://dx.doi.org/10.1007/978-3-319-47194-5
      Format: 
      Excerpt: 
      -- Experimental Evaluation of Artificial Immune System-based Learning Algorithms -- Conclusions and Future Work.
      Cover image for Advances in Business ICT: New Ideas from Ongoing Research
      87. 
      Advances in Business ICT: New Ideas from Ongoing Research
      by 
      Pełech-Pilichowski, Tomasz. editor.
      http://dx.doi.org/10.1007/978-3-319-47208-9
      Format: 
      Excerpt: 
      Industry 4.0. The book presents new ideas, approaches, solutions and algorithms in the area of knowledge
      Cover image for Fuzzy Sets, Rough Sets, Multisets and Clustering
      88. 
      Fuzzy Sets, Rough Sets, Multisets and Clustering
      by 
      Torra, Vicenç. editor.
      http://dx.doi.org/10.1007/978-3-319-47557-8
      Format: 
      Excerpt: 
      Algorithms Based on Tolerance -- Robust Clustering Algorithms Employing Fuzzy-Possibilistic Product Partition
      Cover image for Advances in Big Data Proceedings of the 2nd INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece
      89. 
      Advances in Big Data Proceedings of the 2nd INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece
      by 
      Angelov, Plamen. editor.
      http://dx.doi.org/10.1007/978-3-319-47898-2
      Format: 
      Excerpt: 
      -inspired algorithms); implementations on different computing platforms (e.g. neuromorphic, graphics processing units
      Cover image for Intelligent Distributed Computing X Proceedings of the 10th International Symposium on Intelligent Distributed Computing – IDC 2016, Paris, France, October 10-12 2016
      90. 
      Intelligent Distributed Computing X Proceedings of the 10th International Symposium on Intelligent Distributed Computing – IDC 2016, Paris, France, October 10-12 2016
      by 
      Badica, Costin. editor.
      http://dx.doi.org/10.1007/978-3-319-48829-5
      Format: 
      Excerpt: 
      .-Reconfiguration of RBAC schemes by genetic algorithms.-String-based Malware Detection for Android Environments
      Cover image for A Bounded Actor-Critic Algorithm for Reinforcement Learning
      91. 
      A Bounded Actor-Critic Algorithm for Reinforcement Learning
      by 
      Lawhead, Ryan Jacob, author.
      http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10642132
      Format: 
      Excerpt: 
      -critic algorithms, where the values of the so-called actor can either become very large or very small, the algorithm
      Cover image for Parallel processing for artificial intelligence 3
      92. 
      Parallel processing for artificial intelligence 3
      by 
      Geller, James.
      ScienceDirect https://www.sciencedirect.com/science/book/9780444824868
      ScienceDirect https://www.sciencedirect.com/science/bookseries/09230459/20
      Format: 
      Excerpt: 
      SETHEO -- Low-Level Computer Vision Algorithms: Performance Evaluation on Parallel and Distributed
      Cover image for Learning to Measure: Distance Metric Learning with Structured Sparsity
      93. 
      Learning to Measure: Distance Metric Learning with Structured Sparsity
      by 
      Amand, Joseph St., author.
      http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10791465
      Format: 
      Excerpt: 
      a more effective metric typically results in more accurate metric-based machine learning algorithms.
      Cover image for Joint-Stochastic Spectral Inference for Robust Co-Occurrence Modeling and Latent Topic Analysis
      94. 
      Cover image for A flexible machine vision system for small parts inspection based on a hybrid SVM/ANN approach
      95. 
      A flexible machine vision system for small parts inspection based on a hybrid SVM/ANN approach
      by 
      Joshi, Keyur Dineshchandra, author.
      http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10857290
      Format: 
      Excerpt: 
      . Classifiers developed from supervised algorithms perform well when trained for a specific application with
      Cover image for Reliable Online Prediction with Refuse Option
      96. 
      Reliable Online Prediction with Refuse Option
      by 
      Koçak, Mustafa Anil, author.
      http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10641615
      Format: 
      Excerpt: 
      epsilon. Our approach, based on conformal predictors, refuses less often than state-of-art meta-algorithms
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