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GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
14 years 7 days ago
Probabilistic modeling for continuous EDA with Boltzmann selection and Kullback-Leibeler divergence
This paper extends the Boltzmann Selection, a method in EDA with theoretical importance, from discrete domain to the continuous one. The difficulty of estimating the exact Boltzma...
Yunpeng Cai, Xiaomin Sun, Peifa Jia
ICPR
2010
IEEE
14 years 3 months ago
Continuous Markov Random Field Optimization using Fusion Move Driven Markov Chain Monte Carlo Technique
Many vision applications have been formulated as Markov Random Field (MRF) problems. Although many of them are discrete labeling problems, continuous formulation often achieves gre...
Wonsik Kim (Seoul National University), Kyoung Mu ...
MICAI
2009
Springer
14 years 3 months ago
A Two-Stage Relational Reinforcement Learning with Continuous Actions for Real Service Robots
Reinforcement Learning is a commonly used technique in robotics, however, traditional algorithms are unable to handle large amounts of data coming from the robot’s sensors, requi...
Julio H. Zaragoza, Eduardo F. Morales
TII
2010
113views Education» more  TII 2010»
13 years 3 months ago
An Automated Framework for Formal Verification of Timed Continuous Petri Nets
In this paper, we develop an automated framework for formal verification of timed continuous Petri nets (ContPNs). Specifically, we consider two problems: (1) given an initial set ...
Marius Kloetzer, Cristian Mahulea, Calin Belta, Ma...
UPP
2004
Springer
14 years 1 months ago
From Prescriptive Programming of Solid-State Devices to Orchestrated Self-organisation of Informed Matter
Abstract. Achieving real-time response to complex, ambiguous, highbandwidth data is impractical with conventional programming. Only the narrow class of compressible input-output ma...
Klaus-Peter Zauner