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» Models for Incomplete and Probabilistic Information
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IR
2008
15 years 4 months ago
A probability ranking principle for interactive information retrieval
The classical Probability Ranking Principle (PRP) forms the theoretical basis for probabilistic Information Retrieval (IR) models, which are dominating IR theory since about 20 ye...
Norbert Fuhr
147
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CIKM
2008
Springer
15 years 6 months ago
A latent variable model for query expansion using the hidden markov model
We propose a novel probabilistic method based on the Hidden Markov Model (HMM) to learn the structure of a Latent Variable Model (LVM) for query language modeling. In the proposed...
Qiang Huang, Dawei Song
ICDE
2004
IEEE
94views Database» more  ICDE 2004»
16 years 5 months ago
A Probabilistic Approach to Metasearching with Adaptive Probing
An ever increasing amount of valuable information is stored in Web databases, "hidden" behind search interfaces. To save the user's effort in manually exploring eac...
Zhenyu Liu, Chang Luo, Junghoo Cho, Wesley W. Chu
125
Voted
NIPS
2003
15 years 5 months ago
Probabilistic Inference in Human Sensorimotor Processing
When we learn a new motor skill, we have to contend with both the variability inherent in our sensors and the task. The sensory uncertainty can be reduced by using information abo...
Konrad P. Körding, Daniel M. Wolpert
UAI
2003
15 years 5 months ago
Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes
Collaborative filtering (CF) and contentbased filtering (CBF) have widely been used in information filtering applications, both approaches having their individual strengths and...
Kai Yu, Anton Schwaighofer, Volker Tresp, Wei-Ying...