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» Decision Making Using Probabilistic Inference Methods
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BMCBI
2005
100views more  BMCBI 2005»
15 years 2 months ago
Evolutionary models for insertions and deletions in a probabilistic modeling framework
Background: Probabilistic models for sequence comparison (such as hidden Markov models and pair hidden Markov models for proteins and mRNAs, or their context-free grammar counterp...
Elena Rivas
CIRA
2007
IEEE
152views Robotics» more  CIRA 2007»
15 years 8 months ago
Probabilistic Semantic Mapping with a Virtual Sensor for Building/Nature detection
Abstract— In human-robot communication it is often important to relate robot sensor readings to concepts used by humans. We believe that access to semantic maps will make it poss...
Martin Persson, Tom Duckett, Christoffer Valgren, ...
131
Voted
ECCV
2002
Springer
16 years 4 months ago
Implicit Probabilistic Models of Human Motion for Synthesis and Tracking
Abstract. This paper addresses the problem of probabilistically modeling 3D human motion for synthesis and tracking. Given the high dimensional nature of human motion, learning an ...
Hedvig Sidenbladh, Michael J. Black, Leonid Sigal
141
Voted
ICDM
2003
IEEE
158views Data Mining» more  ICDM 2003»
15 years 7 months ago
Identifying Markov Blankets with Decision Tree Induction
The Markov Blanket of a target variable is the minimum conditioning set of variables that makes the target independent of all other variables. Markov Blankets inform feature selec...
Lewis Frey, Douglas H. Fisher, Ioannis Tsamardinos...
AUSAI
2009
Springer
15 years 9 months ago
Probabilistic Seeking Prediction in P2P VoD Systems
In P2P VoD streaming systems, user behavior modeling is critical to help optimise user experience as well as system throughput. However, it still remains a challenging task due to ...
Weiwei Wang, Tianyin Xu, Yang Gao, Sanglu Lu