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» Probabilistic models for pattern statistics
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AI
2011
Springer
14 years 10 months ago
SampleSearch: Importance sampling in presence of determinism
The paper focuses on developing effective importance sampling algorithms for mixed probabilistic and deterministic graphical models. The use of importance sampling in such graphi...
Vibhav Gogate, Rina Dechter
153
Voted
ACL
2011
14 years 7 months ago
Learning Sub-Word Units for Open Vocabulary Speech Recognition
Large vocabulary speech recognition systems fail to recognize words beyond their vocabulary, many of which are information rich terms, like named entities or foreign words. Hybrid...
Carolina Parada, Mark Dredze, Abhinav Sethy, Ariya...
149
Voted
BCB
2010
140views Bioinformatics» more  BCB 2010»
14 years 10 months ago
Guiding belief propagation using domain knowledge for protein-structure determination
A major bottleneck in high-throughput protein crystallography is producing protein-structure models from an electrondensity map. In previous work, we developed Acmi, a probabilist...
Ameet Soni, Craig A. Bingman, Jude W. Shavlik
150
Voted
KDD
2004
ACM
135views Data Mining» more  KDD 2004»
16 years 3 months ago
Discovering additive structure in black box functions
Many automated learning procedures lack interpretability, operating effectively as a black box: providing a prediction tool but no explanation of the underlying dynamics that driv...
Giles Hooker
136
Voted
WSDM
2010
ACM
322views Data Mining» more  WSDM 2010»
16 years 26 days ago
Inferring Search Behaviors Using Partially Observable Markov (POM) Model
This article describes an application of the partially observable Markov (POM) model to the analysis of a large scale commercial web search log. Mathematically, POM is a variant o...
Kuansan Wang, Nikolas Gloy, Xiaolong Li