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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
2017
Highly Cited
2017
enchmark for molecular machine learning †
Molecular machine learning has been maturing rapidly over the last few years. Improved methods and the presence of larger… 
Review
2017
Review
2017
Machine Learning and Materials Informatics: Recent Applications and Prospects
Propelled partly by the Materials Genome Initiative, and partly by the algorithmic developments and the resounding successes of… 
Review
2010
Review
2010
A Review of Machine Learning Algorithms for Text-Documents Classification
With the increasing availability of electronic documents and the rapid growth of the World Wide Web, the task of automatic… 
Highly Cited
2008
Highly Cited
2008
Machine Learning in Bioinformatics
Machine learning techniques such as Markov models, support vector machines, neural networks, graphical models, etc., have been… 
Highly Cited
2005
Highly Cited
2005
Classification Using Machine Learning Techniques
Automated text classification has been considered as a vital method to manage and process a vast amount of documents in digital… 
Review
2002
Review
2002
Machine Learning for Sequential Data: A Review
Statistical learning problems in many fields involve sequential data. This paper formalizes the principal learning tasks and… 
Highly Cited
1999
Highly Cited
1999
Machine learning and data mining
Over the past decade , many organizations have begun to routinely capture huge volumes of historical data describing their… 
Highly Cited
1999
Highly Cited
1999
Feature Selection for Machine Learning: Comparing a Correlation-Based Filter Approach to the Wrapper
Feature selection is often an essential data processing step prior to applying a learning algorithm. The removal of irrelevant… 
Highly Cited
1998
Highly Cited
1998
Practical feature subset selection for machine learning
Machine learning algorithms automatically extract knowledge from machine readable information. Unfortunately, their success is… 
Highly Cited
1995
Highly Cited
1995
Machine Learning Approaches to Estimating Software Development Effort
Accurate estimation of software development effort is critical in software engineering. Underestimates lead to time pressures… 
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