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» Document Retrieval using a Probabilistic Knowledge Model
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SIGIR
2010
ACM
15 years 1 months ago
Hierarchical pitman-yor language model for information retrieval
In this paper, we propose a new application of Bayesian language model based on Pitman-Yor process for information retrieval. This model is a generalization of the Dirichlet distr...
Saeedeh Momtazi, Dietrich Klakow
CIKM
2010
Springer
14 years 8 months ago
A probabilistic topic-connection model for automatic image annotation
The explosive increase of image data on Internet has made it an important, yet very challenging task to index and automatically annotate image data. To achieve that end, sophistic...
Xin Chen, Xiaohua Hu, Zhongna Zhou, Caimei Lu, Gai...
OTM
2005
Springer
15 years 3 months ago
Biomedical Retrieval: How Can a Thesaurus Help?
Abstract. Searching specialized collections, such as biomedical literature, typically requires intimate knowledge of a specialized terminology. Hence, it can be a disappointing exp...
Leonie IJzereef, Jaap Kamps, Maarten de Rijke
ICASSP
2009
IEEE
14 years 7 months ago
Probabilistic matrix tri-factorization
Nonnegative matrix tri-factorization (NMTF) is a 3-factor decomposition of a nonnegative data matrix, X USV , where factor matrices, U, S, and V , are restricted to be nonnegativ...
Jiho Yoo, Seungjin Choi
AMINING
2003
Springer
261views Data Mining» more  AMINING 2003»
15 years 3 months ago
Micro View and Macro View Approaches to Discovered Rule Filtering
A data mining system can semi-automatically discover knowledge by mining a large volume of data, but the discovered knowledge is not always novel and may contain unreasonable facts...
Yasuhiko Kitamura, Akira Iida, Keunsik Park