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AR
2007
105views more  AR 2007»
15 years 6 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»
15 years 6 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»
15 years 6 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 10 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 10 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