 |

Page: 1 of 6
The Elements of Statistical Learning : Data Mining, Inference, and Prediction (Springer Series in Statistics)
An Introduction to Support Vector Machines : And Other Kernel-Based Learning Methods
Blondie24: Playing at the Edge of AI
Introduction to the Theory of Computation
Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations
Genetic Algorithms in Search, Optimization and Machine Learning
Machine Learning
Learning with Kernels
Bayesian Networks and Decision Graphs (Statistics for Engineering and Information Science)
Perceptrons - Expanded Edition
C4:5:programs for Machine Learning
Reinforcement Learning
Learning Kernel Classifiers
Machine Learning : A Theoretical Approach
Imitation in Animals and Artifacts
An Introduction to Computational Learning Theory
A Half-Century of Automata Theory
A Compendium of Machine Learning (Ablex Series in Artificial Intelligence)
Geometric Computing for Perception Action Systems : Concepts, Algorithms, and Scientific Applications
Recurrent Neural Networks for Prediction: Learning Algorithms, Architectures and Stability
Fast Learning and Invariant Object Recognition : The Sixth-Generation Breakthrough (Sixth Generation Computer Technology Series)
Algorithmic Learning Theory
Machine learning : ECML-95 : 8th European Conference on Machine Learning, Heraclion, Crete, Greece, April 25-27, 1995 : proceedings
Machine Learning Methods for Planning (The Morgan Kaufmann Series in Machine Learning)
Machine Learning and Data Mining: Methods and Applications
Pages: 1 2 3 4 5 6 Next
|

In Association with Amazon.com, Amazon.co.uk,
Amazon.de,
Amazon.fr
Copyright (c) by Eugene Kisly and Victor Kisly, 1999-2000
| |
|