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175
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BMCBI
2010
83views more  BMCBI 2010»
15 years 7 months ago
Trees on networks: resolving statistical patterns of phylogenetic similarities among interacting proteins
Background: Phylogenies capture the evolutionary ancestry linking extant species. Correlations and similarities among a set of species are mediated by and need to be understood in...
William P. Kelly, Michael P. H. Stumpf
BMCBI
2010
101views more  BMCBI 2010»
15 years 7 months ago
Enrichment of homologs in insignificant BLAST hits by co-complex network alignment
Background: Homology is a crucial concept in comparative genomics. The algorithm probably most widely used for homology detection in comparative genomics, is BLAST. Usually a stri...
Like Fokkens, Sandra M. C. Botelho, Jos Boekhorst,...
191
Voted
EAAI
2007
90views more  EAAI 2007»
15 years 6 months ago
AI techniques in modelling, assignment, problem solving and optimization
This paper recapitulates the results of a long research on a family of artificial intelligence (AI) methods—relying on, e.g., artificial neural networks and search techniques...
Zsolt János Viharos, Zsolt Kemény
201
Voted
REALWSN
2010
15 years 4 months ago
Motes in the Jungle: Lessons Learned from a Short-Term WSN Deployment in the Ecuador Cloud Forest
We study the characteristics of the communication links of a wireless sensor network in a tropical cloud forest in Ecuador, in the context of a wildlife monitoring application. Thi...
Matteo Ceriotti, Matteo Chini, Amy L. Murphy, Gian...
204
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JMLR
2010
139views more  JMLR 2010»
15 years 1 months ago
Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines
Alternating Gibbs sampling is the most common scheme used for sampling from Restricted Boltzmann Machines (RBM), a crucial component in deep architectures such as Deep Belief Netw...
Guillaume Desjardins, Aaron C. Courville, Yoshua B...