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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

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Highly Cited
2011
Highly Cited
2011
Scikit-learn is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale… 
Highly Cited
2006
Highly Cited
2006
Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods… 
Highly Cited
2003
Highly Cited
2003
A central problem in machine learning is identifying a representative set of features from which to construct a classification… 
Review
2002
Review
2002
We consider the problem of classifying documents not by topic, but by overall sentiment, e.g., determining whether a review is… 
Highly Cited
2002
Highly Cited
2002
Support vector machines have met with significant success in numerous real-world learning tasks. However, like most machine… 
Review
2001
Review
2001
The automated categorization (or classification) of texts into predefined categories has witnessed a booming interest in the last… 
Highly Cited
1994
Highly Cited
1994
Algorithms for constructing decision trees are among the most well known and widely used of all machine learning methods. Among… 
Highly Cited
1992
Highly Cited
1992
From the Publisher: Classifier systems play a major role in machine learning and knowledge-based systems, and Ross Quinlan's… 
Review
1988
Review
1988
From the Publisher: This book brings together - in an informal and tutorial fashion - the computer techniques, mathematical… 
Highly Cited
1988
Highly Cited
1988
There is no a priori reason why machine learning must borrow from nature. A field could exist, complete with well-defined…