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» A Framework for Expressing and Combining Preferences
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JMLR
2006
125views more  JMLR 2006»
13 years 8 months ago
Efficient Learning of Label Ranking by Soft Projections onto Polyhedra
We discuss the problem of learning to rank labels from a real valued feedback associated with each label. We cast the feedback as a preferences graph where the nodes of the graph ...
Shai Shalev-Shwartz, Yoram Singer
TIME
2005
IEEE
14 years 2 months ago
A Local Method for Prioritized Fusion of Temporal Information
Information often comes from different sources and merging these sources usually leads to the apparition of inconsistencies. Fusion is the operation which consists in restoring th...
Mahat Khelfallah, Belaid Benhamou
ECAI
2006
Springer
14 years 13 days ago
Possibilistic Influence Diagrams
Abstract. In this article we present the framework of Possibilistic Influence Diagrams (PID), which allow to model in a compact form problems of sequential decision making under un...
Laurent Garcia, Régis Sabbadin
BMCBI
2008
128views more  BMCBI 2008»
13 years 8 months ago
Finding sequence motifs with Bayesian models incorporating positional information: an application to transcription factor bindin
Background: Biologically active sequence motifs often have positional preferences with respect to a genomic landmark. For example, many known transcription factor binding sites (T...
Nak-Kyeong Kim, Kannan Tharakaraman, Leonardo Mari...
SIGDIAL
2010
13 years 6 months ago
Presupposition Accommodation as Exception Handling
Van der Sandt's algorithm for handling presupposition is based on a "presupposition as anaphora" paradigm and is expressed in the realm of Kamp's DRT. In recen...
Philippe de Groote, Ekaterina Lebedeva