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» Probabilistic algorithms for computing resultants
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ILP
2000
Springer
15 years 8 months ago
Bayesian Logic Programs
First-order probabilistic models are recognized as efficient frameworks to represent several realworld problems: they combine the expressive power of first-order logic, which serv...
Kristian Kersting, Luc De Raedt
TREC
2004
15 years 6 months ago
Experiments with Web QA System and TREC 2004 Questions
We describe our first participation in TREC. We only competed in the Question Answering (QA) category and limited our runs to factoids. Our approach was to use our open domain QA ...
Dmitri Roussinov, Yin Ding, Jose Antonio Robles-Fl...
SDM
2003
SIAM
110views Data Mining» more  SDM 2003»
15 years 6 months ago
Mixture Models and Frequent Sets: Combining Global and Local Methods for 0-1 Data
We study the interaction between global and local techniques in data mining. Specifically, we study the collections of frequent sets in clusters produced by a probabilistic clust...
Jaakko Hollmén, Jouni K. Seppänen, Hei...
AAAI
2012
13 years 7 months ago
An Object-Based Bayesian Framework for Top-Down Visual Attention
We introduce a new task-independent framework to model top-down overt visual attention based on graphical models for probabilistic inference and reasoning. We describe a Dynamic B...
Ali Borji, Dicky N. Sihite, Laurent Itti
SDM
2009
SIAM
129views Data Mining» more  SDM 2009»
16 years 1 months ago
Multi-topic Based Query-Oriented Summarization.
Query-oriented summarization aims at extracting an informative summary from a document collection for a given query. It is very useful to help users grasp the main information rel...
Dewei Chen, Jie Tang, Limin Yao