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AR
2007
105views more  AR 2007»
14 years 9 months ago
Reinforcement learning of a continuous motor sequence with hidden states
—Reinforcement learning is the scheme for unsupervised learning in which robots are expected to acquire behavior skills through self-explorations based on reward signals. There a...
Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sug...
BMCBI
2007
136views more  BMCBI 2007»
14 years 9 months ago
Prediction of tissue-specific cis-regulatory modules using Bayesian networks and regression trees
Background: In vertebrates, a large part of gene transcriptional regulation is operated by cisregulatory modules. These modules are believed to be regulating much of the tissue-sp...
Xiaoyu Chen, Mathieu Blanchette
BMCBI
2007
149views more  BMCBI 2007»
14 years 9 months ago
Identification of tissue-specific cis-regulatory modules based on interactions between transcription factors
Background: Evolutionary conservation has been used successfully to help identify cis-acting DNA regions that are important in regulating tissue-specific gene expression. Motivate...
Xueping Yu, Jimmy J. Lin, Donald J. Zack, Jiang Qi...
AUSAI
2006
Springer
15 years 1 months ago
Robust Character Recognition Using a Hierarchical Bayesian Network
There is increasing evidence to suggest that the neocortex of the mammalian brain does not consist of a collection of specialised and dedicated cortical architectures, but instead ...
John Thornton, Torbjorn Gustafsson, Michael Blumen...
AMT
2006
Springer
107views Multimedia» more  AMT 2006»
15 years 1 months ago
An Intelligent Process Monitoring System in Complex Manufacturing Environment
In high-tech industries, most manufacturing processes are complexly intertwined, in that manufacturers or engineers can hardly control a whole set of processes. They are only capa...
Sung Ho Ha, Boo-Sik Kang