Free Delivery Over $100
5566 books were found.
Read More >>
Discusses the fundamental ideas which lie behind the statistical theory of learning and generalization. This book... Read More >>
In scientific discovery, searching must often extend to other spaces as well: spaces of possible problems, of... Read More >>
Genetic programming (GP), one of the most advanced forms of evolutionary computation, has been highly successful... Read More >>
This text presents a novel and unified theory that tries to seamlessly integrate different algorithms. Specifically,... Read More >>
Just over thirty years after Holland first presented the outline for Learning Classifier System paradigm, the ability... Read More >>
takes n+1 n n n n its values in some Euclidean space, Y is a random variable, and the “step n size” > 0 is small... Read More >>
Support vector machines (SVMs) are one of the most active research areas in machine learning. For SVMs to gain a... Read More >>
The objective of Document Analysis and Recognition (DAR) is to recognize the text and graphicalcomponents of a document... Read More >>
Based on contributions to the International Workshop on Machine Learning for Vision-Based Motion Analysis, this... Read More >>
However, most GAs employed in practice nowadays are unable to learn genetic linkage and suffer from the linkage... Read More >>
This book collects selected papers by authors for CODATA 2006, which are relevant to the acquisition of knowledge... Read More >>
Constitutes the proceedings of the 8th International Conference on Simulated Evolution and Learning, SEAL 2010,... Read More >>
Reinforcement learning has developed as a successful learning approach for domains that are not fully understood... Read More >>