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Machine learning

Known as: Adaptive machine learning, Statistical learning, Learning algorithms 
Machine learning is the subfield of computer science that "gives computers the ability to learn without being explicitly programmed" (Arthur Samuel… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2015
Highly Cited
2015
Python Machine Learning
Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analyticsAbout This BookLeverage… 
Review
2013
Review
2013
An Introduction to Statistical Learning: with Applications in R
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential… 
Highly Cited
2010
Highly Cited
2010
A geometric approach to improve spectrum efficiency for cognitive relay networks
Cognitive radio (CR) enables dynamic spectrum access (DSA). In CR networks (CRNs), unlicensed cognitive users (CUs) can share the… 
Highly Cited
2010
Highly Cited
2010
Refining non-taxonomic relation labels with external structured data to support ontology learning
Highly Cited
2008
Highly Cited
2008
Numerical solution of a system of fuzzy polynomials by fuzzy neural network
Highly Cited
2007
Highly Cited
2007
Application of artificial intelligence to wireless communications
This dissertation provides the theory, design, and implementation of a cognitive engine, the enabling technology of cognitive… 
Highly Cited
2005
Highly Cited
2005
Using Names and Topics for New Event Detection
New Event Detection (NED) involves monitoring chronologically-ordered news streams to automatically detect the stories that… 
Highly Cited
2003
Highly Cited
2003
Nonlinear identification and control - a neural network approach: G.P. Liu; Springer, London, 2001, ISBN 1-85233-342-1
  • S. Ge
  • at - Automatisierungstechnik
  • 2003
  • Corpus ID: 2999920
Highly Cited
1999
Highly Cited
1999
A fuzzy inductive learning strategy for modular rules
Highly Cited
1993
Highly Cited
1993
Knowledge Extraction from Self-Organizing Neural Networks
In this work we present the integration of neural networks with a rule based expert system. The system realizes the automatic… 
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