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UAI
1996
13 years 11 months ago
Bayesian Learning of Loglinear Models for Neural Connectivity
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
Kathryn B. Laskey, Laura Martignon
AAAI
1990
13 years 11 months ago
Obtaining Quantitative Predictions from Monotone Relationships
: Tasks such as forecasting, diagnosis, and planning frequently require quantitative predictions . Typically, quantitative predictions are obtained by characterizing a system in te...
Joseph L. Hellerstein
ATAL
2010
Springer
13 years 11 months ago
Point-based policy generation for decentralized POMDPs
Memory-bounded techniques have shown great promise in solving complex multi-agent planning problems modeled as DEC-POMDPs. Much of the performance gains can be attributed to pruni...
Feng Wu, Shlomo Zilberstein, Xiaoping Chen
ANOR
2007
80views more  ANOR 2007»
13 years 10 months ago
The minimum shift design problem
The min-SHIFT DESIGN problem (MSD) is an important scheduling problem that needs to be solved in many industrial contexts. The issue is to find a minimum number of shifts and the...
Luca Di Gaspero, Johannes Gärtner, Guy Kortsa...
CGF
2010
147views more  CGF 2010»
13 years 10 months ago
Resampling Strategies for Deforming MLS Surfaces
Moving-Least-Squares (MLS) Surfaces undergoing large deformations need periodic regeneration of the point set (point-set resampling) so as to keep the point-set density quasi-unif...
Joao Paulo Gois, Gustavo C. Buscaglia