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IJAR
2010
130views more  IJAR 2010»
13 years 8 months ago
Learning locally minimax optimal Bayesian networks
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
Tomi Silander, Teemu Roos, Petri Myllymäki
ISMIR
2005
Springer
171views Music» more  ISMIR 2005»
14 years 3 months ago
Finding Meter in Music Using An Autocorrelation Phase Matrix and Shannon Entropy
This paper introduces a novel way to detect metrical structure in music. We introduce a way to compute autocorrelation such that the distribution of energy in phase space is prese...
Douglas Eck, Norman Casagrande
WCC
2005
Springer
130views Cryptology» more  WCC 2005»
14 years 3 months ago
On the Design of Codes for DNA Computing
In this paper, we describe a broad class of problems arising in the context of designing codes for DNA computing. We primarily focus on design considerations pertaining to the phen...
Olgica Milenkovic, Navin Kashyap
BMCBI
2004
190views more  BMCBI 2004»
13 years 10 months ago
RAG: RNA-As-Graphs web resource
Background: The proliferation of structural and functional studies of RNA has revealed an increasing range of RNA's structural repertoire. Toward the objective of systematic ...
Daniela Fera, Namhee Kim, Nahum Shiffeldrim, Julie...
BMCBI
2007
144views more  BMCBI 2007»
13 years 10 months ago
Application of amino acid occurrence for discriminating different folding types of globular proteins
Background: Predicting the three-dimensional structure of a protein from its amino acid sequence is a long-standing goal in computational/molecular biology. The discrimination of ...
Y.-h. Taguchi, M. Michael Gromiha