Operon Prediction with Bayesian Classifiers

Mapping Intimacies ◽

10.31979/etd.umtj-9frj ◽

2007 ◽

Author(s):

Natalia Khuri

Keyword(s):

Bayesian Classifiers ◽

Operon Prediction

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Operon Prediction Based On an Iterative Self-learning Algorithm*

PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS ◽

10.3724/sp.j.1206.2010.00686 ◽

2011 ◽

Vol 38 (7) ◽

pp. 642-651

Author(s):

Wen-Qi Wu ◽

Xiao-Bin ZHENG ◽

Yong-Chu LIU ◽

Kai TANG ◽

Huai-Qiu ZHU

Keyword(s):

Learning Algorithm ◽

Operon Prediction ◽

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Construction of Bayesian classifiers with GA for response modeling in direct marketing

2009 2nd IEEE International Conference on Computer Science and Information Technology ◽

10.1109/iccsit.2009.5234617 ◽

2009 ◽

Author(s):

Hongmei Shao ◽

Gaofeng Zheng

Keyword(s):

Direct Marketing ◽

Bayesian Classifiers ◽

Response Modeling

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Alternative prior assumptions for improving the performance of naïve Bayesian classifiers

Data Mining and Knowledge Discovery ◽

10.1007/s10618-008-0101-6 ◽

2008 ◽

Vol 18 (2) ◽

pp. 183-213 ◽

Author(s):

Tzu-Tsung Wong

Keyword(s):

Bayesian Classifiers ◽

Naive Bayesian ◽

Naïve Bayesian

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The brain's neural classifiers considering both the posterior probabilities and generalities to control the mechanism underlying decision making; an evidence for computational Bayesian classifiers

10.1109/iccke.2013.6682834 ◽

2013 ◽

Author(s):

Morteza Saraf ◽

Mohammad Reza Daliri ◽

Hamed Azami ◽

Saeid Sanei

Keyword(s):

Decision Making ◽

Posterior Probabilities ◽

Bayesian Classifiers

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Enrichment of High-Throughput Screening Data with Increasing Levels of Noise Using Support Vector Machines, Recursive Partitioning, and Laplacian-Modified Naive Bayesian Classifiers

Journal of Chemical Information and Modeling ◽

10.1021/ci050374h ◽

2006 ◽

Vol 46 (1) ◽

pp. 193-200 ◽

Author(s):

Meir Glick ◽

Jeremy L. Jenkins ◽

James H. Nettles ◽

Hamilton Hitchings ◽

John W. Davies

Keyword(s):

Support Vector Machines ◽

High Throughput ◽

High Throughput Screening ◽

Recursive Partitioning ◽

Support Vector ◽

Bayesian Classifiers ◽

Naive Bayesian ◽

Naïve Bayesian ◽

Vector Machines

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A Study of Bayesian Classifiers Detecting Gratuitous Email Spamming

Communications on Applied Electronics ◽

10.5120/cae2016652434 ◽

2016 ◽

Vol 6 (2) ◽

pp. 26-30

Author(s):

Garima Jain

Keyword(s):

Bayesian Classifiers

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Improving Operon Prediction in E. coli

2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05) ◽

10.1109/csbw.2005.76 ◽

2006 ◽

Author(s):

P. Dam ◽

V. Olman ◽

Ying Xu

Keyword(s):

E Coli ◽

Operon Prediction

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The Application of Support Vector Machine to Operon Prediction

2008 Second International Conference on Future Generation Communication and Networking ◽

10.1109/fgcn.2008.189 ◽

2008 ◽

Author(s):

Xiumei Wang ◽

Wei Du ◽

Yan Wang ◽

Chen Zhang ◽

Chunguang Zhou ◽

...

Keyword(s):

Support Vector Machine ◽

Support Vector ◽

Operon Prediction

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Uses and misuses of Bayes’ rule and Bayesian classifiers in cybersecurity

10.1063/1.5013945 ◽

2017 ◽

Author(s):

Gregory V. Bard

Keyword(s):

Bayesian Classifiers

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On the Use of Naive Bayesian Classifiers for Detecting Elementary and Coordinated Attacks

Fundamenta Informaticae ◽

10.3233/fi-2010-373 ◽

2010 ◽

Vol 105 (4) ◽

pp. 435-466 ◽

Author(s):

Tayeb Kenaza ◽

Karim Tabia ◽

Salem Benferhat

Keyword(s):

Bayesian Classifiers ◽

Naive Bayesian ◽

Naïve Bayesian

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