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» The Structure Function and Distinguishable Models of Data
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NN
2006
Springer
121views Neural Networks» more  NN 2006»
13 years 7 months ago
Mirror neurons and imitation: A computationally guided review
Neurophysiology reveals the properties of individual mirror neurons in the macaque while brain imaging reveals the presence of `mirror systems' (not individual neurons) in th...
Erhan Oztop, Mitsuo Kawato, Michael A. Arbib
EMMCVPR
2001
Springer
14 years 1 days ago
Designing the Minimal Structure of Hidden Markov Model by Bisimulation
Hidden Markov Models (HMMs) are an useful and widely utilized approach to the modeling of data sequences. One of the problems related to this technique is finding the optimal stru...
Manuele Bicego, Agostino Dovier, Vittorio Murino
SPIRE
2005
Springer
14 years 1 months ago
A Multiple Graph Layers Model with Application to RNA Secondary Structures Comparison
Abstract. We introduce a new data structure, called MiGaL for “Multiple Graph Layers”, that is composed of various graphs linked together ions of abstraction/refinement. The n...
Julien Allali, Marie-France Sagot
BMCBI
2004
126views more  BMCBI 2004»
13 years 7 months ago
A probabilistic model for the evolution of RNA structure
Background: For the purposes of finding and aligning noncoding RNA gene- and cis-regulatory elements in multiple-genome datasets, it is useful to be able to derive multi-sequence ...
Ian Holmes
BMCBI
2006
95views more  BMCBI 2006»
13 years 7 months ago
A quantitative analysis of secondary RNA structure using domination based parameters on trees
Background: It has become increasingly apparent that a comprehensive database of RNA motifs is essential in order to achieve new goals in genomic and proteomic research. Secondary...
Teresa W. Haynes, Debra J. Knisley, Edith Seier, Y...