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137
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ISMB
1994
15 years 5 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
153
Voted
IJCAI
1989
15 years 4 months ago
Noise-Tolerant Instance-Based Learning Algorithms
Several published reports show that instancebased learning algorithms yield high classification accuracies and have low storage requirements during supervised learning application...
David W. Aha, Dennis F. Kibler
ATAL
2010
Springer
15 years 4 months ago
On the role of distances in defining voting rules
A voting rule is an algorithm for determining the winner in an election, and there are several approaches that have been used to justify the proposed rules. One justification is t...
Edith Elkind, Piotr Faliszewski, Arkadii M. Slinko
157
Voted
ATAL
2010
Springer
15 years 4 months ago
Pure Nash equilibria: complete characterization of hard and easy graphical games
We consider the computational complexity of pure Nash equilibria in graphical games. It is known that the problem is NP-complete in general, but tractable (i.e., in P) for special...
Albert Xin Jiang, MohammadAli Safari
127
Voted
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
15 years 4 months ago
Evolutionary swarm design of architectural idea models
In this paper we present a swarm grammar system that makes use of bio-inspired mechanisms of reproduction, communication and construction in order to build three-dimensional struc...
Sebastian von Mammen, Christian Jacob