Skip to search formSkip to main contentSkip to account menu

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… 
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
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
2009
Highly Cited
2009
Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have… 
Highly Cited
2007
Highly Cited
2007
the selection of symmetric factorial designs, that is, a design where all factors have the same number of levels. Chapter 3… 
Highly Cited
2007
Highly Cited
2007
Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods… 
Review
2002
Review
2002
The automated categorization (or classification) of texts into predefined categories has witnessed a booming interest in the last… 
Highly Cited
1999
Highly Cited
1999
Data Mining: Practical Machine Learning Tools and Techniques offers a thorough grounding in machine learning concepts as well as… 
Highly Cited
1996
Highly Cited
1996
Machine Learning is the study of methods for programming computers to learn. Computers are applied to a wide range of tasks, and… 
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…