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» Learning and Generalization with the Information Bottleneck
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JMLR
2010
117views more  JMLR 2010»
14 years 4 months ago
Exploiting the High Predictive Power of Multi-class Subgroups
Subgroup discovery aims at finding subsets of a population whose class distribution is significantly different from the overall distribution. A number of multi-class subgroup disc...
Tarek Abudawood, Peter A. Flach
CHI
2011
ACM
14 years 1 months ago
Utilizing multimedia capabilities of mobile phones to support teaching in schools in rural panama
Providing good education is one of the major challenges for humanity. In many developing regions in the world improving educational standards is seen as a central building block f...
Elba del Carmen Valderrama Bahamóndez, Chri...
WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
13 years 5 months ago
Probabilistic models for personalizing web search
We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...
WSDM
2009
ACM
191views Data Mining» more  WSDM 2009»
15 years 4 months ago
Generating labels from clicks
The ranking function used by search engines to order results is learned from labeled training data. Each training point is a (query, URL) pair that is labeled by a human judge who...
Rakesh Agrawal, Alan Halverson, Krishnaram Kenthap...
BIOADIT
2004
Springer
15 years 3 months ago
The Genealogy of Biomimetics: Half a Century?s Quest for Dynamic IT
Abstract. Biologically inspired approaches to the design of general IT are presently flourishing. Investigating the scientific and historical roots of the tendency will serve to pr...
Mikkel Holm Sørensen