Introduction to Machine Learning (Page-1) Machine Learning Overview (Page-9) Types of Machine Learning Algorithms (Page19) Methods for Pattern Classification (Page-49) Classification of support vector machine and regression algorithm (Page-75 ) Machine Learning for Multi-stage Selection of Numerical Methods (Page-117) Hierarchical Reinforcement Learning Using a Modular Fuzzy Model for Multi-Agent Problem (Page-137) Toshihiko Watanabe Random Forest-LNS Architecture and Vision (Page-151) Colony Optimization (Page-209) Mahalanobis Support Vector Machines Made Fast and Robust (Page-227) Dynamic Visual Motion Estimation (Page-283) Concept Mining and Inner Relationship Discovery from Text (Page-305) Cognitive Learning for Sentence Understanding (Page-329) A Novel Credit Assignment to a Rule with Probabilistic State Transition (Page-357)