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Publication Date: 2018
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by
Melvin, Ryan Lee, author.
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without the typical need for setting any biasing parameters; using a machine learning technique called
by
Isaza, Yueng Santiago De La Hoz, author.
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fall. Sensor data are usually processed using computer vision, data mining, and machine learning
by
Alonso, David Haro, author.
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sought to demonstrate to the cardiology field (and the broader medical field) that machine learning can
by
He, Hua, author. (orcid)0000-0002-5294-8261
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, answer selection for question answering, pairwise learning to rank, monolingual/cross-lingual semantic
by
Malik, Maria, author. (orcid)0000-0001-8425-2501
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-time hardware performance counter data and implements various machine learning based models to predict the
by
Sparrow, Ephraim M.
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-Driven Modeling -- 2.4.1 Proper Orthogonal Decomposition-Based Modeling -- 2.4.2 Machine Learning-Based Modeling
by
Li, Quan, author.
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in the theory of random graphs, statistics and machine learning. In particular, we consider the
by
Hayat, M. A., 1940-
ScienceDirect http://www.sciencedirect.com/science/book/9780123742124
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cancer: clinical significance -- Breast tumor classification and visualization with machine-learning
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