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CIARP
2009
Springer
15 years 4 months ago
Learning Relational Grammars from Sequences of Actions
Many tasks can be described by sequences of actions that normally exhibit some form of structure and that can be represented by a grammar. This paper introduces FOSeq, an algorithm...
Blanca Vargas-Govea, Eduardo F. Morales
BIOCOMP
2010
14 years 6 months ago
Using the Genetic Code Wisdom for Recognizing Protein Coding Sequences
We have elaborated a new method of recognizing protein coding sequences in genomic sequences. The method is exploiting a specific way of genetic code degeneration and relations bet...
Pawel Blazej, Pawel Mackiewicz, Stanislaw Cebrat
WSC
1998
14 years 11 months ago
Exploiting Multiple Regeneration Sequences in Simulation Output Analysis
The regenerative method of simulation output analysis exploits the regenerative structure of a stochastic process to break up a path into independent and identically distributed c...
James M. Calvin, Marvin K. Nakayama
CVPR
2009
IEEE
16 years 4 months ago
A Similarity Measure Between Vector Sequences with Application to Handwritten Word Image Retrieval
This article proposes a novel similarity measure between vector sequences. Recently, a model-based approach was introduced to address this issue. It consists in modeling each se...
José A. Rodríguez-Serrano, Florent P...
RECOMB
2003
Springer
15 years 10 months ago
Maximum entropy modeling of short sequence motifs with applications to RNA splicing signals
We propose a framework for modeling sequence motifs based on the maximum entropy principle (MEP). We recommend approximating short sequence motif distributions with the maximum en...
Gene W. Yeo, Christopher B. Burge