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AAAI
2010
14 years 10 months ago
A Topic Model for Linked Documents and Update Rules for its Estimation
The latent topic model plays an important role in the unsupervised learning from a corpus, which provides a probabilistic interpretation of the corpus in terms of the latent topic...
Zhen Guo, Shenghuo Zhu, Zhongfei Zhang, Yun Chi, Y...
89
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SIGIR
2009
ACM
15 years 7 months ago
A latent topic model for linked documents
Documents in many corpora, such as digital libraries and webpages, contain both content and link information. To explicitly consider the document relations represented by links, i...
Zhen Guo, Shenghuo Zhu, Yun Chi, Zhongfei Zhang, Y...
CORR
2002
Springer
132views Education» more  CORR 2002»
15 years 12 days ago
Nonmonotonic Reasoning, Preferential Models and Cumulative Logics
Many systems that exhibit nonmonotonic behavior have been described and studied already in the literature. The general notion of nonmonotonic reasoning, though, has almost always ...
Sarit Kraus, Daniel J. Lehmann, Menachem Magidor
TCS
2008
15 years 1 days ago
Computation of distances for regular and context-free probabilistic languages
Several mathematical distances between probabilistic languages have been investigated in the literature, motivated by applications in language modeling, computational biology, syn...
Mark-Jan Nederhof, Giorgio Satta
ILP
2000
Springer
15 years 4 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