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» A Probabilistic Answer Type Model
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UAI
2000
13 years 8 months ago
Variational Relevance Vector Machines
The Support Vector Machine (SVM) of Vapnik [9] has become widely established as one of the leading approaches to pattern recognition and machine learning. It expresses predictions...
Christopher M. Bishop, Michael E. Tipping
BMCBI
2006
130views more  BMCBI 2006»
13 years 7 months ago
An interactive visualization tool to explore the biophysical properties of amino acids and their contribution to substitution ma
Background: Quantitative descriptions of amino acid similarity, expressed as probabilistic models of evolutionary interchangeability, are central to many mainstream bioinformatic ...
Blazej Bulka, Marie desJardins, Stephen J. Freelan...
WSDM
2010
ACM
265views Data Mining» more  WSDM 2010»
14 years 4 months ago
Data-oriented Content Query System: Searching for Data into Text on the Web
As the Web provides rich data embedded in the immense contents inside pages, we witness many ad-hoc efforts for exploiting fine granularity information across Web text, such as We...
Kevin Chen-Chuan Chang, Mianwei Zhou, Tao Cheng
ALT
2005
Springer
14 years 4 months ago
Learning Multiple Languages in Groups
We consider a variant of Gold’s learning paradigm where a learner receives as input n different languages (in form of one text where all input languages are interleaved). Our g...
Sanjay Jain, Efim B. Kinber
CIKM
2009
Springer
14 years 1 months ago
Incremental query evaluation for support vector machines
Support vector machines (SVMs) have been widely used in multimedia retrieval to learn a concept in order to find the best matches. In such a SVM active learning environment, the ...
Danzhou Liu, Kien A. Hua