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» Maximum entropy methods for biological sequence modeling
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ISAAC
2004
Springer
88views Algorithms» more  ISAAC 2004»
14 years 2 months ago
On the Range Maximum-Sum Segment Query Problem
The range minimum query problem, RMQ for short, is to preprocess a sequence of real numbers A[1 . . . n] for subsequent queries of the form: “Given indices i, j, what is the ind...
Kuan-Yu Chen, Kun-Mao Chao
TCBB
2010
176views more  TCBB 2010»
13 years 7 months ago
Feature Selection for Gene Expression Using Model-Based Entropy
—Gene expression data usually contain a large number of genes, but a small number of samples. Feature selection for gene expression data aims at finding a set of genes that best...
Shenghuo Zhu, Dingding Wang, Kai Yu, Tao Li, Yihon...
SDM
2003
SIAM
110views Data Mining» more  SDM 2003»
13 years 10 months ago
Mixture Models and Frequent Sets: Combining Global and Local Methods for 0-1 Data
We study the interaction between global and local techniques in data mining. Specifically, we study the collections of frequent sets in clusters produced by a probabilistic clust...
Jaakko Hollmén, Jouni K. Seppänen, Hei...
CORR
2007
Springer
140views Education» more  CORR 2007»
13 years 9 months ago
From the entropy to the statistical structure of spike trains
— We use statistical estimates of the entropy rate of spike train data in order to make inferences about the underlying structure of the spike train itself. We first examine a n...
Yun Gao, Ioannis Kontoyiannis, Elie Bienenstock
ICPR
2008
IEEE
14 years 3 months ago
Improving Bayesian Network parameter learning using constraints
This paper describes a new approach to unify constraints on parameters with training data to perform parameter estimation in Bayesian networks of known structure. The method is ge...
Cassio Polpo de Campos, Qiang Ji