TY  - BOOK
AU  - Kubat,Miroslav
ED  - SpringerLink (Online service)
TI  - An Introduction to Machine Learning
SN  - 9783319200101
AV  - Q334-342 
PY  - 2015///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Artificial intelligence
KW  - Computer simulation
KW  - Information storage and retrieva
KW  - Optical pattern recognition
KW  - Artificial Intelligence
KW  - Simulation and Modeling
KW  - Information Storage and Retrieval
KW  - Pattern Recognition
N1  - 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
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
UR  - https://doi.org/10.1007/978-3-319-20010-1
ER  -