Multilinear Subspace Learning : Dimensionality Reduction of Multidimensional Data
Haiping Lu
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Artificial Intelligence and Causal Inference
Momiao Xiong
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The Pragmatic Programmer for Machine Learning : Engineering Analytics and Data Science Solutions
Marco (Istituto Dalle Molle) Scutari
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Sparse Modeling : Theory, Algorithms, and Applications
Irina Rish
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Regularization, Optimization, Kernels, and Support Vector Machines
Johan A.K. Suykens
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Computational Trust Models and Machine Learning
Xin (Ecole Polytechnique Federale de Lausanne, Switzerland) Liu
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Transformers for Machine Learning : A Deep Dive
Uday Kamath
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Transformers for Machine Learning : A Deep Dive
Uday Kamath
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Introduction to Machine Learning with Applications in Information Security
Mark Stamp
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Introduction to Machine Learning with Applications in Information Security
Mark Stamp
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Data Science and Machine Learning : Mathematical and Statistical Methods
Alice Y.C. (University of Wales Trinity Saint David, Hong Kong) Te
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Data Science and Machine Learning : Mathematical and Statistical Methods
Alice Y.C. (University of Wales Trinity Saint David, Hong Kong) Te
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Utility-Based Learning from Data
Craig Friedman
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Introduction to Machine Learning with Applications in Information Security
Mark Stamp
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Add to BasketStatistical Reinforcement Learning : Modern Machine Learning Approaches
Masashi Sugiyama
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Utility-Based Learning from Data
Craig Friedman
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Stephen Marsland
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Computational Trust Models and Machine Learning
Xin (Ecole Polytechnique Federale de Lausanne, Switzerland) Liu
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Regularization, Optimization, Kernels, and Support Vector Machines
Johan A.K. Suykens
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