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» Learning for Optical Flow Using Stochastic Optimization
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IJCNN
2007
IEEE
14 years 4 months ago
Multi-Stage Optimal Component Analysis
— Optimal component analysis (OCA) uses a stochastic gradient optimization process to find optimal representations for general criteria and shows good performance in object reco...
Yiming Wu, Xiuwen Liu, Washington Mio
ISMB
1994
13 years 11 months ago
Stochastic Motif Extraction Using Hidden Markov Model
In this paper, westudy the application of an ttMM(hidden Markov model) to the problem of representing protein sequencesby a stochastic motif. Astochastic protein motif represents ...
Yukiko Fujiwara, Minoru Asogawa, Akihiko Konagaya
JSAC
2011
159views more  JSAC 2011»
13 years 5 months ago
An Anti-Jamming Stochastic Game for Cognitive Radio Networks
—Various spectrum management schemes have been proposed in recent years to improve the spectrum utilization in cognitive radio networks. However, few of them have considered the ...
Beibei Wang, Yongle Wu, K. J. Ray Liu, T. Charles ...
GECCO
2005
Springer
108views Optimization» more  GECCO 2005»
14 years 3 months ago
Exploring XCS in multiagent environments
This paper investigates the adaptability of XCS in four different multiagent environments. The environments are realized in a simplified soccer game, and they include (1) singlea...
Hiroyasu Inoue, Keiki Takadama, Katsunori Shimohar...
CORR
2010
Springer
123views Education» more  CORR 2010»
13 years 8 months ago
Feature Construction for Relational Sequence Learning
Abstract. We tackle the problem of multi-class relational sequence learning using relevant patterns discovered from a set of labelled sequences. To deal with this problem, firstly...
Nicola Di Mauro, Teresa Maria Altomare Basile, Ste...