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GRC
2010
IEEE
15 years 4 months ago
Interval Type-2 Fuzzy PI Controllers: Why They are More Robust
Abstract—Many experiments have shown that interval type2 (IT2) fuzzy PI controllers are generally more robust than their type-1 (T1) counterparts, as they are better able to cope...
Dongrui Wu, Woei Wan Tan
TSP
2008
132views more  TSP 2008»
15 years 3 months ago
Robust Intervention in Probabilistic Boolean Networks
Probabilistic Boolean networks (PBNs) have been recently introduced as a paradigm for modeling genetic regulatory networks. One of the objectives of PBN modeling is to use the netw...
Ranadip Pal, Aniruddha Datta, Edward R. Dougherty
PKDD
2010
Springer
179views Data Mining» more  PKDD 2010»
15 years 1 months ago
Gaussian Processes for Sample Efficient Reinforcement Learning with RMAX-Like Exploration
Abstract. We present an implementation of model-based online reinforcement learning (RL) for continuous domains with deterministic transitions that is specifically designed to achi...
Tobias Jung, Peter Stone
NAR
2010
140views more  NAR 2010»
14 years 10 months ago
GUIDANCE: a web server for assessing alignment confidence scores
Evaluating the accuracy of multiple sequence alignment (MSA) is critical for virtually every comparative sequence analysis that uses an MSA as input. Here we present the GUIDANCE ...
Osnat Penn, Eyal Privman, Haim Ashkenazy, Giddy La...
148
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CVPR
2005
IEEE
16 years 6 months ago
A Hybrid Graphical Model for Robust Feature Extraction from Video
We consider a visual scene analysis scenario where objects (e.g. people, cars) pass through the viewing field of a static camera and need to be detected and segmented from the bac...
Ali Taylan Cemgil, Wojciech Zajdel, Ben J. A. Kr&o...