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ICANN
2007
Springer
16 years 9 days ago
Theoretical Analysis of Accuracy of Gaussian Belief Propagation
Abstract. Belief propagation (BP) is the calculation method which enables us to obtain the marginal probabilities with a tractable computational cost. BP is known to provide true m...
Yu Nishiyama, Sumio Watanabe
ECAI
2008
Springer
15 years 8 months ago
An Analysis of Bayesian Network Model-Approximation Techniques
Abstract. Two approaches have been used to perform approximate inference in Bayesian networks for which exact inference is infeasible: employing an approximation algorithm, or appr...
Adamo Santana, Gregory M. Provan
ISCAS
1994
IEEE
92views Hardware» more  ISCAS 1994»
15 years 10 months ago
A Study on the Stochastic Computation Using the Ratio of One Pulses and Zero Pulses
Stochastic computation uses pulse streams to represent numbers. In this paper, we have studied the novel method to implement the number system which uses the ratio of the number o...
Seung-Jai Min, Eel-Wan Lee, Soo-Ik Chae
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 9 months ago
On-line evolutionary computation for reinforcement learning in stochastic domains
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
Shimon Whiteson, Peter Stone
ISNN
2010
Springer
15 years 4 months ago
Extension of the Generalization Complexity Measure to Real Valued Input Data Sets
Abstract. This paper studies the extension of the Generalization Complexity (GC) measure to real valued input problems. The GC measure, defined in Boolean space, was proposed as a...
Iván Gómez, Leonardo Franco, Jos&eac...