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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
2013
Highly Cited
2013
Predicting length of stay at WiFi hotspots
Today's smartphones provide a variety of sensors, enabling high-resolution measurements of user behavior. We envision that many… 
2011
2011
An Efficient Algorithm for Generating Classification Rules
Data mining is the process of extracting hidden knowledge from the large data repositories. In data mining, there are several… 
2009
2009
Covariant Policy Search
Increasing the expressiveness of qualitative spatial calculi is an essential step towards meeting the requirements of… 
Highly Cited
2005
Highly Cited
2005
Semi-automatic video annotation based on active learning with multiple complementary predictors
In this paper, we will propose a novel semi-automatic annotation scheme for video semantic classification. It is well known that… 
2004
2004
Availability in Global Peer-To-Peer Storage Systems
Peer-to-peer file sharing applications have become increasingly popular. Measurements of P2P systems indicate large heterogeneity… 
1997
1997
Statistical Learning Algorithms Based on Bregman Distances
| We present a class of statistical learning algorithms formulated in terms of minimizing Bregman distances, a family of… 
Highly Cited
1996
Highly Cited
1996
Learning in fuzzy neural networks
In our fuzzy neural networks, fuzzy weights and fuzzy operations are used for training crisp and fuzzy data. Theoretical studies… 
1991
1991
Notes and references on early automatic classification work
This informal note was prompted by discussions and questions at the 1990 AAAI Spring Symposium on Text-Based Intelligent Systems… 
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