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Поиск книг, содержащих: Curse of dimensionality
| Книга | Страницы для поиска | | 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 detection | 90, 232 | | Haerdle W., Simar L. — Applied multivariate statistical analysis | 431 | | Kaburlasos V.G. — Towards a Unified Modeling and Knowledge-Representation Based on Lattice Theory: Computational Intelligence and Soft Computing Applications | 156, 158 | | Watkins D. — Fundamentals of matrix computations | 529 | | Meisel W.S. — Computer-oriented approach to pattern recognition | 12, 13, 42, 88, 186 | | Wolkenhauser O. — Data Engineering: Fuzzy Mathematics in Systems Theory and Data Analysis | 81 | | Hastie T., Tibshirani R., Friedman J. — The Elements of Statistical Learning Data Mining, Inference and Prediction | 22—27 | | Jang J.-S.R., Sun Ch.-T., Muzutani E. — Neuro-Fuzzy and Soft Computing | 87 | | Burke E.K., Kendall G. — Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques | 369 | | Gershenfeld N. — The Nature of Mathematical Modelling-Neil Gershenfeld | 149 | | Mandic D.P., Chambers J.A. — Recurrent neural networks for prediction: learning algorithms, architectures and stability | 22 | | Suykens J.A.K., Horvath G., Basu S. — Advances in learning theory: methods, models and applications | 73 | | Marchette D.J. — Random Graphs for Statistical Pattern Recognition | 14, 16—18, 34, 61 | | Ablameyko S., Goras L., Gori M. — Neural networks for instrumentation, measurement and related industrial applications | 85 | | Kuhn D. — Generalized Bounds For Convex Multistage Stochastic Programs | 53 | | Berrar D.P., Dubitzky W., Granzow M. — Practical approach to microarray data analysis | 110, 167, 184 | | Dupacova J., Hurt J., Stepan J. — Stochastic Modeling in Economics and Finance | 121 | | Luenberger D.G. — Investment science | 114 | | Friedman J., Hastie T., Tibshirani R. — The Elements of Statistical Learning | 22—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 Approaches | 543 | | Suykens J.A.K. — Least Squares Support Vector Machines | 4, 235 | | Marques de Sa J.P. — Pattern recognition: concepts, methods, and applications | 46, 109 | | Bowman A.W., Azzalini A. — Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations | 11 | | Sutton R.S., Barto A.G. — Reinforcement Learning | 16, 107, 207 | | Wilkinson L., Wills G., Rope D. — The Grammar aof Graphics | 228 | | Taylor P. — Text-to-Speech Synthesis | 81, 534 | | Theodoridis S., Koutroumbas K. — Pattern recognition | 43, 134 | | Marmanis H., Babenko D. — Algorithms of the intelligent web | 159, 166 | | Thuillard M. — Wavelets in Soft Computing | 33, 35, 36, 144 | | Suykens J.A.K., Horvath G. — Advanced learning theory: methods, moduls and applications | 73 | | Denn M. — Optimization by variational methods | 272 | | Mitchell T.M. — Machine Learning | 235 | | Hristev R.M. — The artificial neural network book | 241 | | Niederreiter H. — Random number generation and quasi-Monte Carlo methods | 2 | | Abraham A., Baets B. — Applied Soft Computing Technologies: The Challenge of Complexity | 425 | | Bellman R. — Methods of nonlinear analysis (Vol. 2) | 95 | | Maltoni D., Maio D., Jain A.K. — Handbook of fingerprint recognition | 247 | | Maddala G.S. (ed.), Rao C.R. (ed.) — Robust Inference | 106 |
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