 |
Introduction to Probability Models, Ise
|
 |
Probability: A Graduate Course (Springer Texts in Statistics)
|
 |
Machine Learning
|
 |
Pattern Recognition and Machine Learning (Information Science and Statistics)
|
 |
Neural Networks for Pattern Recognition
|
 |
Introduction to the Theory of Computation, Second Edition
|
 |
Probability and Computing: Randomized Algorithms and Probabilistic Analysis
|
 |
Computers and Intractability: A Guide to the Theory of NP-Completeness (Series of Books in the Mathematical Sciences)
|
 |
Completeness and Reduction in Algebraic Complexity Theory (Algorithms and Computation in Mathematics)
|
 |
The Nonlinear Workbook: Chaos, Fractals, Celluar Automata, Neural Networks, Genetic Algorithms, Gene Expression Programming, Support Vector Machine, Wavelets, Hidden Markov M
|
 |
Information Theory, Inference & Learning Algorithms
|
 |
Elements of Information Theory 2nd Edition (Wiley Series in Telecommunications and Signal Processing)
|
 |
Foundations of Genetic Programming
|
 |
Genetic Programming and Data Structures: Genetic Programming + Data Structures = Automatic Programming! (Genetic Programming)
|
 |
Cellular Automata
|
 |
Parallel Scientific Computing in C++ and MPI: A Seamless Approach to Parallel Algorithms and their Implementation
|
 |
Automatic Sequences: Theory, Applications, Generalizations
|