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» General Database Statistics Using Entropy Maximization
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RC
2007
148views more  RC 2007»
13 years 8 months ago
Computing Population Variance and Entropy under Interval Uncertainty: Linear-Time Algorithms
In statistical analysis of measurement results, it is often necessary to compute the range [V , V ] of the population variance V = 1 n · n i=1 (xi −E)2 (where E = 1 n · n i=1 ...
Gang Xiang, Martine Ceberio, Vladik Kreinovich
WABI
2009
Springer
128views Bioinformatics» more  WABI 2009»
14 years 3 months ago
A General Framework for Local Pairwise Alignment Statistics with Gaps
We present a novel dynamic programming framework that allows one to compute tight upper bounds for the p-values of gapped local alignments in pseudo–polynomial time. Our algorith...
Pasi Rastas
COMAD
2008
13 years 10 months ago
REBMEC: Repeat Based Maximum Entropy Classifier for Biological Sequences
An important problem in biological data analysis is to predict the family of a newly discovered sequence like a protein or DNA sequence, using the collection of available sequence...
Pratibha Rani, Vikram Pudi
ICDE
2007
IEEE
90views Database» more  ICDE 2007»
14 years 3 months ago
Music Recommendation Mapping and Interface Based on Structural Network Entropy
Recommendation systems generally produce the results of their output to their users in the form of an ordinal list. In the interest of simplicity, these lists are often obscure, ,...
Justin Donaldson
CIKM
2005
Springer
14 years 2 months ago
A hybrid approach to NER by MEMM and manual rules
This paper describes a framework for defining domain specific Feature Functions in a user friendly form to be used in a Maximum Entropy Markov Model (MEMM) for the Named Entity Re...
Moshe Fresko, Binyamin Rosenfeld, Ronen Feldman