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» A generative theory of relevance
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149
Voted
KDD
1998
ACM
101views Data Mining» more  KDD 1998»
15 years 11 months ago
Probabilistic Modeling for Information Retrieval with Unsupervised Training Data
We apply a well-known Bayesian probabilistic model to textual information retrieval: the classification of documents based on their relevance to a query. This model was previously...
Ernest P. Chan, Santiago Garcia, Salim Roukos
ICASSP
2007
IEEE
15 years 10 months ago
Multi-Channel Source Separation Preserving Spatial Information
In this paper we propose two novel methods for preserving the spatial information in source separation algorithms. Our approach is applicable to any source separation algorithm an...
Robert Aichner, Herbert Buchner, Meray Zourub, Wal...
145
Voted
CLADE
2004
IEEE
15 years 10 months ago
Grid Service for Visualization and Analysis of Remote Fusion Data
Simulations and experiments in the fusion and plasma physics community generate large datasets at remote sites. Visualization and analysis of these datasets are difficult because ...
Svetlana G. Shasharina, Nanbor Wang, John R. Cary
CLEF
2004
Springer
15 years 10 months ago
MIRACLE's Hybrid Approach to Bilingual and Monolingual Information Retrieval
The main goal of the bilingual and monolingual participation of the MIRACLE team at CLEF 2004 was testing the effect of combination approaches to information retrieval. The starti...
José Miguel Goñi-Menoyo, José...
COOPIS
2004
IEEE
15 years 10 months ago
Paradigms for Decentralized Social Filtering Exploiting Trust Network Structure
Recommender systems, notably collaborative and hybrid information filtering approaches, vitally depend on neighborhood formation, i.e., selecting small subsets of most relevant pee...
Cai-Nicolas Ziegler, Georg Lausen