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Book
796views
17 years 2 months ago
Introduction to Machine Learning
This is an introductory book about machine learning. Notice that this is a draft book. It may contain typos, mistakes, etc. The book covers the following topics: Boolean Functio...
Nils J. Nilsson

Book
498views
17 years 2 months ago
Machine Learning, Neural and Statistical Classification
This book covers several topics such as Classification, Classical Statistical Methods, Modern Statistical Techniques, Machine Learning of Rules and Trees, Neural Networks Methods ...
Ellis Horwood
SCESM
2006
ACM
257views Algorithms» more  SCESM 2006»
15 years 10 months ago
Test ready UML statechart models
The dynamic behavior of systems is best described by Finite-state machines. Generation of executable tests from behavioral models such as UML Statecharts offers benefits such as s...
P. V. R. Murthy, P. C. Anitha, M. Mahesh, Rajesh S...
IWINAC
2007
Springer
15 years 10 months ago
Requirements for Machine Lifelong Learning
A significant advance in inductive modelling are systems that retain learned knowledge and selectively transfer portions of that knowledge as a source of inductive bias. We defi...
Daniel L. Silver, Ryan Poirier
AI
2008
Springer
15 years 10 months ago
Verbs Speak Loud: Verb Categories in Learning Polarity and Strength of Opinions
In this work we show that verbs reliably represent texts when machine learning algorithms are used to learn opinions. We identify semantic verb categories that capture essential pr...
Marina Sokolova, Guy Lapalme