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» Document Retrieval using a Probabilistic Knowledge Model
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KDD
2007
ACM
124views Data Mining» more  KDD 2007»
15 years 4 months ago
Hierarchical mixture models: a probabilistic analysis
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
Mark Sandler
ICCBR
2007
Springer
15 years 4 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
UM
2010
Springer
15 years 3 months ago
Task-Based User Modelling for Knowledge Work Support
A Knowledge Worker (KW) uses her computer to perform different tasks for which she gathers and uses information from disparate sources such as the Web and e-mail, and creates new ...
Charlie Abela, Chris Staff, Siegfried Handschuh
WWW
2009
ACM
15 years 10 months ago
Mining multilingual topics from wikipedia
In this paper, we try to leverage a large-scale and multilingual knowledge base, Wikipedia, to help effectively analyze and organize Web information written in different languages...
Xiaochuan Ni, Jian-Tao Sun, Jian Hu, Zheng Chen
CBMS
2009
IEEE
15 years 1 months ago
A medical image retrieval framework in correlation enhanced visual concept feature space
This paper presents a medical image retrieval framework that uses visual concepts in a feature space employing statistical models built using a probabilistic multi-class support v...
Md. Mahmudur Rahman, Sameer Antani, George R. Thom...