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140
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ICML
2006
IEEE
15 years 6 months ago
Automatic basis function construction for approximate dynamic programming and reinforcement learning
We address the problem of automatically constructing basis functions for linear approximation of the value function of a Markov Decision Process (MDP). Our work builds on results ...
Philipp W. Keller, Shie Mannor, Doina Precup
107
Voted
JCST
2008
109views more  JCST 2008»
15 years 24 days ago
WWW Business Applications Based on the Cellular Model
A cellular model based on the Incrementally Modular Abstraction Hierarchy (IMAH) is a novel model that can represent the architecture of and changes in cyberworlds, preserving inva...
Toshio Kodama, Tosiyasu L. Kunii, Yoichi Seki
94
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Statistical Resolution Limit for source localization in a MIMO context
In this paper, we derive the Multidimensional Statistical Resolution Limit (MSRL) to resolve two closely spaced targets using a widely spaced MIMO radar. Toward this end, we perfo...
Mohammed Nabil El Korso, Rémy Boyer, Alexan...
114
Voted
ICIP
2006
IEEE
16 years 2 months ago
Shape-Based Image Segmentation Using Normalized Cuts
To segment a whole object from an image is an essential and challenging task in image processing. In this paper, we propose a hybrid segmentation algorithm which combines prior sh...
Wenchao Cai, Jue Wu, Albert C. S. Chung
105
Voted
SIGIR
2004
ACM
15 years 6 months ago
The document as an ergodic markov chain
In recent years, statistical language models are being proposed as alternative to the vector space model. Viewing documents as language samples introduces the issue of defining a...
Eduard Hoenkamp, Dawei Song