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» On Graphical Modeling of Preference and Importance
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JMLR
2006
125views more  JMLR 2006»
13 years 8 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»
14 years 8 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
13 years 10 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
INCDM
2007
Springer
69views Data Mining» more  INCDM 2007»
14 years 2 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
13 years 9 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