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Поиск книг, содержащих: Curse of dimensionality

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Dietterich T.G., Becker S., Ghahramani Z. — Advances in neural information processing systems 14 (Vol. 1 and vol. 2)665, 689, 1523
Gustafsson F. — Adaptive filtering and change detection90, 232
Haerdle W., Simar L. — Applied multivariate statistical analysis431
Kaburlasos V.G. — Towards a Unified Modeling and Knowledge-Representation Based on Lattice Theory: Computational Intelligence and Soft Computing Applications156, 158
Watkins D. — Fundamentals of matrix computations529
Meisel W.S. — Computer-oriented approach to pattern recognition12, 13, 42, 88, 186
Wolkenhauser O. — Data Engineering: Fuzzy Mathematics in Systems Theory and Data Analysis81
Hastie T., Tibshirani R., Friedman J. — The Elements of Statistical Learning Data Mining, Inference and Prediction22—27
Jang J.-S.R., Sun Ch.-T., Muzutani E. — Neuro-Fuzzy and Soft Computing87
Burke E.K., Kendall G. — Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques369
Gershenfeld N. — The Nature of Mathematical Modelling-Neil Gershenfeld149
Mandic D.P., Chambers J.A. — Recurrent neural networks for prediction: learning algorithms, architectures and stability22
Suykens J.A.K., Horvath G., Basu S. — Advances in learning theory: methods, models and applications73
Marchette D.J. — Random Graphs for Statistical Pattern Recognition14, 16—18, 34, 61
Ablameyko S., Goras L., Gori M. — Neural networks for instrumentation, measurement and related industrial applications85
Kuhn D. — Generalized Bounds For Convex Multistage Stochastic Programs53
Berrar D.P., Dubitzky W., Granzow M. — Practical approach to microarray data analysis110, 167, 184
Dupacova J., Hurt J., Stepan J. — Stochastic Modeling in Economics and Finance121
Luenberger D.G. — Investment science114
Friedman J., Hastie T., Tibshirani R. — The Elements of Statistical Learning22—27
Bellman R. — Introduction to the mathematical theory of control processes (Volume II: Nonlinear Processes)44
Pal S.K., Pal A. (eds.) — Pattern Recognition: From Classical to Modern Approaches543
Suykens J.A.K. — Least Squares Support Vector Machines4, 235
Marques de Sa J.P. — Pattern recognition: concepts, methods, and applications46, 109
Bowman A.W., Azzalini A. — Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations11
Sutton R.S., Barto A.G. — Reinforcement Learning16, 107, 207
Wilkinson L., Wills G., Rope D. — The Grammar aof Graphics228
Taylor P. — Text-to-Speech Synthesis81, 534
Theodoridis S., Koutroumbas K. — Pattern recognition43, 134
Marmanis H., Babenko D. — Algorithms of the intelligent web159, 166
Thuillard M. — Wavelets in Soft Computing33, 35, 36, 144
Suykens J.A.K., Horvath G. — Advanced learning theory: methods, moduls and applications73
Denn M. — Optimization by variational methods272
Mitchell T.M. — Machine Learning235
Hristev R.M. — The artificial neural network book241
Niederreiter H. — Random number generation and quasi-Monte Carlo methods2
Abraham A., Baets B. — Applied Soft Computing Technologies: The Challenge of Complexity425
Bellman R. — Methods of nonlinear analysis (Vol. 2)95
Maltoni D., Maio D., Jain A.K. — Handbook of fingerprint recognition247
Maddala G.S. (ed.), Rao C.R. (ed.) — Robust Inference106
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