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» Knowledge Extraction from Local Function Networks
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ISMB
1994
15 years 3 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
ICPR
2006
IEEE
16 years 3 months ago
Shape-based Discrimination and Classification of Cortical Surfaces
Advances in medical imaging technique make it possible to study shape variations of neuroanatomical structures in vivo, which has been proved useful in the study of neuropathology...
Arthur K. Liu, Bruce Fischl, Florent Ségonn...
133
Voted
SAB
2010
Springer
117views Optimization» more  SAB 2010»
15 years 25 days ago
Indirectly Encoding Neural Plasticity as a Pattern of Local Rules
Biological brains can adapt and learn from past experience. In neuroevolution, i.e. evolving artificial neural networks (ANNs), one way that agents controlled by ANNs can evolve t...
Sebastian Risi, Kenneth O. Stanley
IAT
2008
IEEE
15 years 9 months ago
Introducing Communication in Dis-POMDPs with Locality of Interaction
The Networked Distributed POMDPs (ND-POMDPs) can model multiagent systems in uncertain domains and has begun to scale-up the number of agents. However, prior work in ND-POMDPs has ...
Makoto Tasaki, Yuichi Yabu, Yuki Iwanari, Makoto Y...
TSP
2010
14 years 9 months ago
Channel energy based estimation of target trajectories using distributed sensors with low communication rate
Abstract--Sensor localization using channel energy measurements of distributed sensors has been studied in various scenarios. However, it is usually assumed that the target does no...
Christian R. Berger, Sora Choi, Shengli Zhou, Pete...