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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
2013
Highly Cited
2013
Today's smartphones provide a variety of sensors, enabling high-resolution measurements of user behavior. We envision that many… 
2012
2012
Domain adaptation algorithms that handle shifts in the distribution between training and testing data are receiving much… 
2010
2010
Entity Retrieval (ER)—in comparison to classical search—aims at finding individual entities instead of relevant documents… 
2009
2009
Increasing the expressiveness of qualitative spatial calculi is an essential step towards meeting the requirements of… 
2007
2007
In this paper, a method to estimate position and orientation of a mobile system in an indoor scenario is described. The proposed… 
Highly Cited
2005
Highly Cited
2005
In this paper, we will propose a novel semi-automatic annotation scheme for video semantic classification. It is well known that… 
2004
2004
Peer-to-peer file sharing applications have become increasingly popular. Measurements of P2P systems indicate large heterogeneity… 
1997
1997
| We present a class of statistical learning algorithms formulated in terms of minimizing Bregman distances, a family of… 
Highly Cited
1996
Highly Cited
1996
In our fuzzy neural networks, fuzzy weights and fuzzy operations are used for training crisp and fuzzy data. Theoretical studies… 
1991
1991
This informal note was prompted by discussions and questions at the 1990 AAAI Spring Symposium on Text-Based Intelligent Systems…