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» On Graphical Modeling of Preference and Importance
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JMLR
2006
125views more  JMLR 2006»
14 years 11 months ago
Linear Programming Relaxations and Belief Propagation - An Empirical Study
The problem of finding the most probable (MAP) configuration in graphical models comes up in a wide range of applications. In a general graphical model this problem is NP hard, bu...
Chen Yanover, Talya Meltzer, Yair Weiss
VLDB
2008
ACM
170views Database» more  VLDB 2008»
15 years 12 months ago
A multi-ranker model for adaptive XML searching
The evolution of computing technology suggests that it has become more feasible to offer access to Web information in a ubiquitous way, through various kinds of interaction device...
Ho Lam Lau, Wilfred Ng
COMMA
2008
15 years 1 months ago
Modelling Judicial Context in Argumentation Frameworks
Abstract. Much work using argumnentation frameworks treats arguments as enbstract, related by a uniform attack relation which always succeeds unless the attacker can itself be defe...
Adam Zachary Wyner, Trevor J. M. Bench-Capon
82
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INCDM
2007
Springer
69views Data Mining» more  INCDM 2007»
15 years 6 months ago
Simultaneous Co-clustering and Modeling of Market Data
For difficult prediction problems, practitioners often segment the data into relatively homogenous groups and then build a model for each group. This two-step procedure usually res...
Meghana Deodhar, Joydeep Ghosh
ECIR
2006
Springer
15 years 1 months ago
A User-Item Relevance Model for Log-Based Collaborative Filtering
Abstract. Implicit acquisition of user preferences makes log-based collaborative filtering favorable in practice to accomplish recommendations. In this paper, we follow a formal ap...
Jun Wang, Arjen P. de Vries, Marcel J. T. Reinders