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» A probabilistic approach to default reasoning
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FLAIRS
2004
14 years 11 months ago
Computing Marginals with Hierarchical Acyclic Hypergraphs
How to compute marginals efficiently is one of major concerned problems in probabilistic reasoning systems. Traditional graphical models do not preserve all conditional independen...
S. K. Michael Wong, Tao Lin
AI
1999
Springer
14 years 9 months ago
Information Retrieval and Artificial Intelligence
This paper addresses the relations between information retrieval (IR) and AI. It examines document retrieval, summarising its essential features and illustrating the state of its ...
Karen Sparck Jones
ICCBR
2007
Springer
15 years 3 months ago
Knowledge Extraction and Summarization for an Application of Textual Case-Based Interpretation
Abstract. This paper presents KES (Knowledge Extraction and Summarization), a new knowledge-enhanced approach that builds a case memory out of episodic textual narratives. These na...
Eni Mustafaraj, Martin Hoof, Bernd Freisleben
CIKM
2008
Springer
14 years 11 months ago
Modeling hidden topics on document manifold
Topic modeling has been a key problem for document analysis. One of the canonical approaches for topic modeling is Probabilistic Latent Semantic Indexing, which maximizes the join...
Deng Cai, Qiaozhu Mei, Jiawei Han, Chengxiang Zhai
WWW
2008
ACM
15 years 10 months ago
Scalable querying services over fuzzy ontologies
Fuzzy ontologies are envisioned to be useful in the Semantic Web. Existing fuzzy ontology reasoners are not scalable enough to handle the scale of data that the Web provides. In t...
Jeff Z. Pan, Giorgos B. Stamou, Giorgos Stoilos, S...