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136
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ISMB
1993
15 years 5 months ago
Using Dirichlet Mixture Priors to Derive Hidden Markov Models for Protein Families
A Bayesian method for estimating the amino acid distributions in the states of a hidden Markov model (HMM) for a protein familyor the columns of a multiple alignment of that famil...
Michael Brown, Richard Hughey, Anders Krogh, I. Sa...
146
Voted
HPDC
2008
IEEE
15 years 3 months ago
A two-level scheduler to dynamically schedule a stream of batch jobs in large-scale grids
This paper describes the study conducted to design and evaluate a two-level on-line scheduler to dynamically schedule a stream of sequential and multi-threaded batch jobs on large...
Marco Pasquali, Ranieri Baraglia, Gabriele Capanni...
154
Voted
AROBOTS
2002
126views more  AROBOTS 2002»
15 years 3 months ago
Selecting Landmarks for Localization in Natural Terrain
We describe techniques to optimally select landmarks for performing mobile robot localization by matching terrain maps. The method is based upon a maximum-likelihood robot localiza...
Clark F. Olson
139
Voted
CONNECTION
2007
87views more  CONNECTION 2007»
15 years 3 months ago
Efficient architectures for sparsely-connected high capacity associative memory models
In physical implementations of associative memory, wiring costs play a significant role in shaping patterns of connectivity. In this study of sparsely-connected associative memory...
Lee Calcraft, Rod Adams, Neil Davey
137
Voted
PPSN
2010
Springer
15 years 2 months ago
Globally Induced Model Trees: An Evolutionary Approach
In the paper we propose a new evolutionary algorithm for induction of univariate regression trees that associate leaves with simple linear regression models. In contrast to typical...
Marcin Czajkowski, Marek Kretowski