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» Computational Probabilistic Non-interference
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AI
1998
Springer
15 years 6 months ago
A Hybrid Convergent Method for Learning Probabilistic Networks
During past few years, a variety of methods have been developed for learning probabilistic networks from data, among which the heuristic single link forward or backward searches ar...
Jun Liu, Kuo-Chu Chang, Jing Zhou
SMA
1993
ACM
107views Solid Modeling» more  SMA 1993»
15 years 6 months ago
Relaxed parametric design with probabilistic constraints
: Parametric design is an important modeling paradigm in computer aided design. Relationships (constraints) between the degrees of freedom (DOFs) of the model, instead of the DOFs ...
Yacov Hel-Or, Ari Rappoport, Michael Werman
105
Voted
WSC
2007
15 years 4 months ago
Optimal scheduling of probabilistic repetitive projects using completed unit and genetic algorithms
In this paper we introduce the completed unit algorithm (CU-AL), a probabilistic scheduling methodology for repetitive projects. The algorithm has two main advantages, simplicity ...
Chachrist Srisuwanrat, Photios G. Ioannou
AAAI
2010
15 years 4 months ago
Probabilistic Plan Recognition Using Off-the-Shelf Classical Planners
Plan recognition is the problem of inferring the goals and plans of an agent after observing its behavior. Recently, it has been shown that this problem can be solved efficiently,...
Miquel Ramírez, Hector Geffner
118
Voted
AAAI
2004
15 years 4 months ago
PROBCONS: Probabilistic Consistency-Based Multiple Alignment of Amino Acid Sequences
Obtaining an accurate multiple alignment of protein sequences is a difficult computational problem for which many heuristic techniques sacrifice optimality to achieve reasonable r...
Chuong B. Do, Michael Brudno, Serafim Batzoglou