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SIGIR
2012
ACM
13 years 9 months ago
Explicit relevance models in intent-oriented information retrieval diversification
The intent-oriented search diversification methods developed in the field so far tend to build on generative views of the retrieval system to be diversified. Core algorithm compon...
Saul Vargas, Pablo Castells, David Vallet
171
Voted
CAV
2004
Springer
152views Hardware» more  CAV 2004»
16 years 3 days ago
Abstract Regular Model Checking
Regular Tree Model Checking Ahmed Bouajjani, Peter Habermehl 1 LIAFA, University Paris 7, Case 7014, 2, place Jussieu, F-75251 Paris Cedex 05, France Adam Rogalewicz, Tom´aˇs Voj...
Ahmed Bouajjani, Peter Habermehl, Tomás Voj...
CIKM
2007
Springer
15 years 10 months ago
A segment-based hidden markov model for real-setting pinyin-to-chinese conversion
Hidden markov model (HMM) is frequently used for Pinyin-toChinese conversion. But it only captures the dependency with the preceding character. Higher order markov models can brin...
Xiaohua Zhou, Xiaohua Hu, Xiaodan Zhang, Xiajiong ...
BIOINFORMATICS
2006
118views more  BIOINFORMATICS 2006»
15 years 6 months ago
A probabilistic dynamical model for quantitative inference of the regulatory mechanism of transcription
Motivation Quantitative estimation of the regulatory relationship between transcription factors and genes is a fundamental stepping stone when trying to develop models of cellular...
Guido Sanguinetti, Magnus Rattray, Neil D. Lawrenc...
PAMI
2008
161views more  PAMI 2008»
15 years 6 months ago
TRUST-TECH-Based Expectation Maximization for Learning Finite Mixture Models
The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...