TY  - BOOK
AU  - Kubat,Miroslav
ED  - SpringerLink (Online service)
TI  - An Introduction to Machine Learning
SN  - 9783319200095
U1  - 006.3 22
PY  - 2015///
CY  - Cham
PB  - Springer
KW  - Machine learning
KW  - BUEsh
KW  - COMSCI
KW  - May2016
N1  - Index : p. 291; Bibliography : p. 287-290; A Simple Machine-Learning Task -- Probabilities: Bayesian Classifiers -- Similarities: Nearest-Neighbor Classifiers -- Inter-Class Boundaries: Linear and Polynomial Classifiers -- Artificial Neural Networks -- Decision Trees -- Computational Learning Theory -- A Few Instructive Applications -- Induction of Voting Assemblies -- Some Practical Aspects to Know About -- Performance Evaluation.-Statistical Significance -- The Genetic Algorithm -- Reinforcement learning; Available on campus and off campus with authorized login
N2  - This book presents basic ideas of machine learning in a way that is easy to understand, by providing hands-on practical advice, using simple examples, and motivating students with discussions of interesting applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, neural networks, and support vector machines. Later chapters show how to combine these simple tools by way of “boosting, ” how to exploit them in more complicated domains, and how to deal with diverse advanced practical issues. One chapter is dedicated to the popular genetic algorithms
ER  -