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» A Probabilistic Answer Type Model
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GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
14 years 2 months ago
Extraction of informative genes from microarray data
Identification of those genes that might anticipate the clinical behavior of different types of cancers is challenging due to availability of a smaller number of patient samples...
Topon Kumar Paul, Hitoshi Iba
BMCBI
2008
137views more  BMCBI 2008»
13 years 8 months ago
A dynamic Bayesian network approach to protein secondary structure prediction
Background: Protein secondary structure prediction method based on probabilistic models such as hidden Markov model (HMM) appeals to many because it provides meaningful informatio...
Xin-Qiu Yao, Huaiqiu Zhu, Zhen-Su She
CORR
2011
Springer
145views Education» more  CORR 2011»
13 years 8 days ago
Collective Animal Behavior from Bayesian Estimation and Probability Matching
Animals living in groups make movement decisions that depend, among other factors, on social interactions with other group members. Our present understanding of social rules in an...
Alfonso Pérez-Escudero, Gonzalo G. de Polav...
SDM
2010
SIAM
158views Data Mining» more  SDM 2010»
13 years 10 months ago
On the Use of Combining Rules in Relational Probability Trees
A relational probability tree (RPT) is a type of decision tree that can be used for probabilistic classification of instances with a relational structure. Each leaf of an RPT cont...
Daan Fierens
CORR
2010
Springer
98views Education» more  CORR 2010»
13 years 5 months ago
Coding for High-Density Recording on a 1-D Granular Magnetic Medium
In terabit-density magnetic recording, several bits of data can be replaced by the values of their neighbors in the storage medium. As a result, errors in the medium are dependent ...
Arya Mazumdar, Alexander Barg, Navin Kashyap