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JMLR
2010
137views more  JMLR 2010»
15 years 1 months ago
Covariance in Unsupervised Learning of Probabilistic Grammars
Probabilistic grammars offer great flexibility in modeling discrete sequential data like natural language text. Their symbolic component is amenable to inspection by humans, while...
Shay B. Cohen, Noah A. Smith
DAC
2006
ACM
16 years 7 months ago
Statistical timing based on incomplete probabilistic descriptions of parameter uncertainty
Existing approaches to timing analysis under uncertainty are based on restrictive assumptions. Statistical STA techniques assume that the full probabilistic distribution of parame...
Wei-Shen Wang, Vladik Kreinovich, Michael Orshansk...
ICRA
2010
IEEE
106views Robotics» more  ICRA 2010»
15 years 5 months ago
Generalized direction changing fall control of humanoid robots among multiple objects
— Humanoid robots are expected to share human environments in the future and it is important to ensure safety of their operation. A serious threat to safety is the fall of a huma...
Umashankar Nagarajan, Ambarish Goswami
COLT
2008
Springer
15 years 8 months ago
Learning Acyclic Probabilistic Circuits Using Test Paths
We define a model of learning probabilistic acyclic circuits using value injection queries, in which an arbitrary subset of wires is set to fixed values, and the value on the sing...
Dana Angluin, James Aspnes, Jiang Chen, David Eise...
TSE
2010
151views more  TSE 2010»
15 years 4 months ago
The Probabilistic Program Dependence Graph and Its Application to Fault Diagnosis
This paper presents an innovative model of a program’s internal behavior over a set of test inputs, called the probabilistic program dependence graph (PPDG), that facilitates pr...
George K. Baah, Andy Podgurski, Mary Jean Harrold