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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
2012
Highly Cited
2012
The role of Twitter during a natural disaster: Case study of 2011 Thai Flood
With the emergence of Web 2.0, social media became a key platform that allowed people to interact and share information. Unlike… 
Highly Cited
2009
Highly Cited
2009
Reducing Semantic Drift with Bagging and Distributional Similarity
Iterative bootstrapping algorithms are typically compared using a single set of hand-picked seeds. However, we demonstrate 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
Review
1996
Review
1996
Nonlinear system identification using neural networks
In this Chapter we treat the problem of nonlinear system identification using neural networks. Model structures and their… 
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… 
Highly Cited
1991
Highly Cited
1991
Abductive reasoning networks
Highly Cited
1989
Highly Cited
1989
Design of parallel hardware neural network systems from custom analog VLSI 'building block' chips
Hardware to implement feedforward neural networks has been developed for the evaluation of learning algorithms and prototyping of… 
Highly Cited
1989
Highly Cited
1989
Artificial neural networks for power system static security assessment
An artificial neural network (ANN) is used to assess the static security of a test system. It is demonstrated that an ANN can be… 
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