Title: Innovations in Machine Learning: Theory and Applications / Edition 1, Author: Dawn E. Holmes
Title: Introduction to Machine Learning and Bioinformatics / Edition 1, Author: Sushmita Mitra
Title: Introduction to Online Convex Optimization, second edition, Author: Elad Hazan
Title: Investigating Explanation-Based Learning / Edition 1, Author: Gerald DeJong
Title: Iterative Learning Control for Multi-agent Systems Coordination / Edition 1, Author: Shiping Yang
Title: Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning / Edition 1, Author: Te-Ming Huang
Title: Kernel Methods for Pattern Analysis / Edition 1, Author: John Shawe-Taylor
Title: Knowledge Discovery with Support Vector Machines / Edition 1, Author: Lutz H. Hamel
Title: Lazy Learning / Edition 1, Author: David W. Aha
Title: Learning and Coordination: Enhancing Agent Performance through Distributed Decision Making, Author: S.H. Kim
Title: Learning and Generalisation: With Applications to Neural Networks / Edition 2, Author: Mathukumalli Vidyasagar
Title: Learning from Data: Concepts, Theory, and Methods / Edition 2, Author: Vladimir Cherkassky
Title: Learning from Good and Bad Data / Edition 1, Author: Philip D. Laird
Title: Learning in Humans and Machines: Towards an Interdisciplinary Learning Science, Author: Peter Reimann
Title: Learning in Non-Stationary Environments: Methods and Applications / Edition 1, Author: Moamar Sayed-Mouchaweh
Title: Learning Sites: Social and Technological Resources for Learning, Author: Joan Bliss
Title: Learning Theory from First Principles, Author: Francis Bach
Title: Learning to Learn / Edition 1, Author: Sebastian Thrun
Title: Learning with Nested Generalized Exemplars / Edition 1, Author: Steven L. Salzberg
Title: Learning with Uncertainty / Edition 1, Author: Xizhao Wang

Pagination Links