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ICML
2007
IEEE
16 years 2 months ago
Parameter learning for relational Bayesian networks
We present a method for parameter learning in relational Bayesian networks (RBNs). Our approach consists of compiling the RBN model into a computation graph for the likelihood fun...
Manfred Jaeger
SBRN
2008
IEEE
15 years 8 months ago
Imitation Learning of an Intelligent Navigation System for Mobile Robots Using Reservoir Computing
The design of an autonomous navigation system for mobile robots can be a tough task. Noisy sensors, unstructured environments and unpredictability are among the problems which mus...
Eric A. Antonelo, Benjamin Schrauwen, Dirk Strooba...
ICCAD
1999
IEEE
78views Hardware» more  ICCAD 1999»
15 years 6 months ago
Probabilistic state space search
This paper describes a probabilistic approach to state space search. The presented method applies a ranking of the design states according to their probability of reaching a given...
Andreas Kuehlmann, Kenneth L. McMillan, Robert K. ...
NAA
2000
Springer
125views Mathematics» more  NAA 2000»
15 years 5 months ago
Matrix Computations Using Quasirandom Sequences
Abstract. The convergence of Monte Carlo method for numerical integration can often be improved by replacing pseudorandom numbers (PRNs) with more uniformly distributed numbers kno...
Michael Mascagni, Aneta Karaivanova
DAC
2007
ACM
16 years 2 months ago
Placement of 3D ICs with Thermal and Interlayer Via Considerations
Thermal problems and limitations on interlayer via densities are important design constraints on three-dimensional integrated circuits (3D ICs), and need to be considered during g...
Brent Goplen, Sachin S. Sapatnekar