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Random sequence
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#	Item
61	REDEFINING RANDOMNESS QUANTIS WHEN RANDOM NUMBERS CANNOT BE LEFT TO CHANCE RANDOMNESS TEST REPORT Add to Reading List Source URL: www.idquantique.com Language: English - Date: 2015-03-23 10:17:13 Statistics Randomness tests Diehard tests Random number generation Pseudorandom number generator Wald–Wolfowitz runs test Pseudorandomness Random sequence Entropy Randomness Cryptography Probability and statistics
62	Conditional Random Fields with High-Order Features for Sequence Labeling Dan Wu Hai Leong Chieu Nan Ye Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2010-03-02 00:50:27 Probability and statistics Machine learning Conditional random field Theoretical computer science Markov chain Hidden Markov model Bayesian network Statistics Markov models Graphical models
63	EVOLUTIONARY OPTIMIZATION OF LOW-DISCREPANCY SEQUENCES ´ OLIVIER TEYTAUD, FRANC ¸ OIS-MICHEL DE RAINVILLE, CHRISTIAN GAGNE, AND DENIS LAURENDEAU Add to Reading List Source URL: www.genetic-programming.org Language: English - Date: 2013-06-23 23:45:49 Diophantine approximation Numerical analysis Combinatorics Low-discrepancy sequence Halton sequence Sobol sequence Random permutation Fisher–Yates shuffle Pseudorandom number generator Mathematics Permutations Randomness
64	Statistical Inference and Learning- Ex-4 Jonathan Rosenblatt and Boaz Nadler due Feb. 15, 2015 Q1 A continuous time Martingale is a stochastic process defined as follows. Let X(t) be a sequence of random variables with a Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2015-01-29 08:44:15 Covariance and correlation Data analysis Singular value decomposition Matrices Probability theory Covariance Principal component analysis Martingale Eigenvalues and eigenvectors Statistics Algebra Mathematics
65	kbcs 2002 Proceedings Template Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2005-03-26 18:54:33 Naive Bayes classifier Classification rule Sequence alignment BLAST Margin classifier Random naive Bayes Least squares support vector machine Statistics Statistical classification Support vector machine
66	Multinomial Event Model Based Abstraction for Sequence and Text Classiﬁcation Dae-Ki Kang, Jun Zhang, Adrian Silvescu, and Vasant Honavar Artiﬁcial Intelligence Research Laboratory, Department of Computer Science, Io Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2006-01-26 18:38:00 Statistical classification Naive Bayes classifier Deduction Entailment Random naive Bayes Logic Statistics Bayesian statistics
67	Table of contents Summary .............................................................................................................................................. 3 Applications of random numbers.................. Add to Reading List Source URL: www.idquantique.com Language: English - Date: 2015-03-23 10:17:13 Random number generation Hardware random number generator Pseudorandomness Statistical randomness Pseudorandom number generator One-time pad Random sequence Fortuna Entropy Randomness Cryptography Applied mathematics
68	Discriminatively Trained Markov Model for Sequence Classification Oksana Yakhnenko, Adrian Silvescu, Vasant Honavar Artificial Intelligence Research Laboratory Center for Computational Intelligence Learning and Discovery Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2005-10-29 21:29:16 Graphical models Bayesian statistics Statistical models Generative model Naive Bayes classifier Support vector machine Discriminative model Cross-validation Markov random field Statistics Machine learning Statistical classification
69	Predicting Protective Bacterial Antigens Using Random Forest Classifiers 1 Yasser EL-Manzalawy2,3 Drena Dobbs1 Vasant Honavar2 Department of Genetics, Development and Cell Biology, Iowa State University, Ames, IA, USA Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2013-02-18 23:18:08 Immune system Immunology Protein methods Computational science Antigen Protein subcellular localization prediction Protein secondary structure Biomolecular structure Sequence alignment Bioinformatics Biology Science
70	RNBL-MN: A Recursive Naive Bayes Learner for Sequence Classification? Dae-Ki Kang, Adrian Silvescu, and Vasant Honavar Artificial Intelligence Research Laboratory Department of Computer Science Iowa State University Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2006-01-11 14:05:00 Bayesian statistics Naive Bayes classifier Ensemble learning Support vector machine Classifier Document classification Random naive Bayes Multiclass classification Statistics Statistical classification Machine learning

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