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» Incremental Probabilistic Inference
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WSDM
2010
ACM
322views Data Mining» more  WSDM 2010»
14 years 7 months 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
BMCBI
2005
137views more  BMCBI 2005»
13 years 10 months ago
A configuration space of homologous proteins conserving mutual information and allowing a phylogeny inference based on pair-wise
Background: Popular methods to reconstruct molecular phylogenies are based on multiple sequence alignments, in which addition or removal of data may change the resulting tree topo...
Olivier Bastien, Philippe Ortet, Sylvaine Roy, Eri...
UM
2005
Springer
14 years 3 months ago
Bayesphone: Precomputation of Context-Sensitive Policies for Inquiry and Action in Mobile Devices
Inference and decision making with probabilistic user models may be infeasible on portable devices such as cell phones. We highlight the opportunity for storing and using precomput...
Eric Horvitz, Paul Koch, Raman Sarin, Johnson Apac...
AIME
2003
Springer
14 years 3 months ago
Multi-relational Data Mining in Medical Databases
Abstract. This paper presents the application of a method for mining data in a multi-relational database that contains some information about patients strucked down by chronic hepa...
Amaury Habrard, Marc Bernard, François Jacq...
ECCV
2010
Springer
14 years 3 months ago
Joint People, Event, and Location Recognition in Personal Photo Collections using Cross-Domain Context
Abstract. We present a framework for vision-assisted tagging of personal photo collections using context. Whereas previous efforts mainly focus on tagging people, we develop a uni...