Title: Introduction to Machine Learning and Bioinformatics / Edition 1, Author: Sushmita Mitra
Title: Brain and Perception: Holonomy and Structure in Figural Processing / Edition 1, Author: Karl H. Pribram
Title: Learning Sites: Social and Technological Resources for Learning, Author: Joan Bliss
Title: The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning / Edition 1, Author: Reuven Y. Rubinstein
Title: Artificial Neural Networks: Learning Algorithms, Performance Evaluation, and Applications / Edition 1, Author: Nicolaos Karayiannis
Title: Advances in Computational Intelligence and Learning: Methods and Applications / Edition 1, Author: Hans-Jïrgen Zimmermann
Title: Soft Computing in Machine Learning, Author: Sang-Yong Rhee
Title: Machine Learning Methods for Ecological Applications / Edition 1, Author: Alan H. Fielding
Title: Genetic Learning for Adaptive Image Segmentation / Edition 1, Author: Bir Bhanu
Title: Machine Learning and Robot Perception / Edition 1, Author: Bruno Apolloni
Title: From Synapses to Rules: Discovering Symbolic Rules from Neural Processed Data, Author: Bruno Apolloni
Title: Rough Sets and Data Mining: Analysis of Imprecise Data / Edition 1, Author: T.Y. Lin
Title: Applications of Learning Classifier Systems / Edition 1, Author: Larry Bull
Title: Machine Learning and Image Interpretation / Edition 1, Author: Terry Caelli
Title: Innovations in Machine Learning: Theory and Applications / Edition 1, Author: Dawn E. Holmes
Title: Learning in Non-Stationary Environments: Methods and Applications / Edition 1, Author: Moamar Sayed-Mouchaweh
Title: Innovations in Machine Learning: Theory and Applications / Edition 1, Author: Dawn E. Holmes
Title: Learning from Good and Bad Data / Edition 1, Author: Philip D. Laird
Title: Explanation-Based Neural Network Learning: A Lifelong Learning Approach / Edition 1, Author: Sebastian Thrun
Title: Recent Advances in Robot Learning: Machine Learning / Edition 1, Author: Judy A. Franklin

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