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» Maximum entropy methods for biological sequence modeling
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ISAAC
2004
Springer
88views Algorithms» more  ISAAC 2004»
15 years 9 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»
15 years 2 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»
15 years 5 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»
15 years 4 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
15 years 10 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