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» Statistical Inference as Default Reasoning
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ISRR
2005
Springer
154views Robotics» more  ISRR 2005»
14 years 1 months ago
Session Overview Planning
ys when planning meant searching for a sequence of abstract actions that satisfied some symbolic predicate. Robots can now learn their own representations through statistical infe...
Nicholas Roy, Roland Siegwart
ECAI
2004
Springer
13 years 11 months ago
Instance-Based Prediction with Guaranteed Confidence
Instance-based learning (IBL) algorithms have proved to be successful in many applications. However, as opposed to standard statistical methods, a prediction in IBL is usually give...
Eyke Hüllermeier
CVPR
2005
IEEE
14 years 9 months ago
Learning to Estimate Human Pose with Data Driven Belief Propagation
We propose a statistical formulation for 2-D human pose estimation from single images. The human body configuration is modeled by a Markov network and the estimation problem is to...
Gang Hua, Ming-Hsuan Yang, Ying Wu
PVLDB
2008
160views more  PVLDB 2008»
13 years 7 months ago
BayesStore: managing large, uncertain data repositories with probabilistic graphical models
Several real-world applications need to effectively manage and reason about large amounts of data that are inherently uncertain. For instance, pervasive computing applications mus...
Daisy Zhe Wang, Eirinaios Michelakis, Minos N. Gar...
AAAI
1996
13 years 8 months ago
First-Order Conditional Logic Revisited
Conditional logics play an important role in recent attempts to investigate default reasoning. This paper investigates firstorder conditional logic. We show that, as for first-ord...
Nir Friedman, Joseph Y. Halpern, Daphne Koller