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» Expected Sequence Similarity Maximization
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BMCBI
2007
147views more  BMCBI 2007»
13 years 11 months ago
MaxAlign: maximizing usable data in an alignment
Background: The presence of gaps in an alignment of nucleotide or protein sequences is often an inconvenience for bioinformatical studies. In phylogenetic and other analyses, for ...
Rodrigo Gouveia-Oliveira, Peter Wad Sackett, Ander...
BMCBI
2007
114views more  BMCBI 2007»
13 years 11 months ago
False occurrences of functional motifs in protein sequences highlight evolutionary constraints
Background: False occurrences of functional motifs in protein sequences can be considered as random events due solely to the sequence composition of a proteome. Here we use a nume...
Allegra Via, Pier Federico Gherardini, Enrico Ferr...
NN
2006
Springer
127views Neural Networks» more  NN 2006»
13 years 10 months ago
The asymptotic equipartition property in reinforcement learning and its relation to return maximization
We discuss an important property called the asymptotic equipartition property on empirical sequences in reinforcement learning. This states that the typical set of empirical seque...
Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai
SODA
1997
ACM
115views Algorithms» more  SODA 1997»
14 years 5 days ago
On-Line Difference Maximization
In this paper we examine problems motivated by on-line financial problems and stochastic games. In particular, we consider a sequence of entirely arbitrary distinct values arrivin...
Ming-Yang Kao, Stephen R. Tate
ICPR
2010
IEEE
14 years 26 days ago
Shape Guided Maximally Stable Extremal Region (MSER) Tracking
Maximally Stable Extremal Regions (MSERs) are one of the most prominent interest region detectors in computer vision due to their powerful properties and low computational demands...
Michael Donoser, Hayko Riemenschneider, Horst Bisc...