Chapman & Hall/CRC Machine Learning & Pattern Recognition

Simon Rogers and Others
Series • 22 Books • Computing & Internet
Handbook of Natural Language Processing Handbook of Natural Language Processing
Handbook of Natural Language Processing
Nitin Indurkhya & Fred J. Damerau
Multilinear Subspace Learning Multilinear Subspace Learning
Multilinear Subspace Learning
Haiping Lu, Konstantinos N. Plataniotis & Anastasios Venetsanopoulos
Bayesian Programming Bayesian Programming
Bayesian Programming
Pierre Bessière, Emmanuel Mazer, Juan Ahuactzin & Kamel Mekhnacha
Machine Learning Machine Learning
Machine Learning
Stephen Marsland
Regularization, Optimization, Kernels, and Support Vector Machines Regularization, Optimization, Kernels, and Support Vector Machines
Regularization, Optimization, Kernels, and Support Vector Machines
Johan A.K. Suykens, Marco Signoretto & Andreas Argyriou
Computational Trust Models and Machine Learning Computational Trust Models and Machine Learning
Computational Trust Models and Machine Learning
Xin Liu, Anwitaman Datta & Ee-Peng Lim
Sparse Modeling Sparse Modeling
Sparse Modeling
Irina Rish & Genady Grabarnik
Statistical Reinforcement Learning Statistical Reinforcement Learning
Statistical Reinforcement Learning
Masashi Sugiyama
Multi-Label Dimensionality Reduction Multi-Label Dimensionality Reduction
Multi-Label Dimensionality Reduction
Liang Sun, Shuiwang Ji & Jieping Ye
Utility-Based Learning from Data Utility-Based Learning from Data
Utility-Based Learning from Data
Craig Friedman & Sven Sandow