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ATAL
2007
Springer
14 years 1 months ago
Approximate state estimation in multiagent settings with continuous or large discrete state spaces
We present a new method for carrying out state estimation in multiagent settings that are characterized by continuous or large discrete state spaces. State estimation in multiagen...
Prashant Doshi
DAGM
2005
Springer
14 years 1 months ago
Regularization on Discrete Spaces
Abstract. We consider the classification problem on a finite set of objects. Some of them are labeled, and the task is to predict the labels of the remaining unlabeled ones. Such...
Dengyong Zhou, Bernhard Schölkopf
CGF
2007
82views more  CGF 2007»
13 years 7 months ago
Unpopping: Solving the Image-Space Blend Problem for Smooth Discrete LOD Transitions
This paper presents a new, simple and practical algorithm to avoid artifacts when switching between discrete levels of detail (LOD) by smoothly blending LOD representations in ima...
Markus Giegl, Michael Wimmer
AAAI
2007
13 years 10 months ago
Improved State Estimation in Multiagent Settings with Continuous or Large Discrete State Spaces
State estimation in multiagent settings involves updating an agent’s belief over the physical states and the space of other agents’ models. Performance of the previous approac...
Prashant Doshi
GECCO
2008
Springer
127views Optimization» more  GECCO 2008»
13 years 8 months ago
Adaptive discretization on multidimensional continuous search spaces
This paper extends an adaptive discretization method, Spliton-Demand (SoD), to be capable of handling multidimensional continuous search spaces. The proposed extension is called m...
Jiun-Jiue Liou, Ying-Ping Chen