Random sequence

Results: 148



#Item
51Mathematics / Science / Computational neuroscience / Conditional random field / Theoretical computer science / Perceptron / Chunking / Artificial neuron / Supervised learning / Neural networks / Machine learning / Statistics

Effect of Non-linear Deep Architecture in Sequence Labeling Mengqiu Wang MENGQIU @ CS . STANFORD . EDU Christopher D. Manning MANNING @ CS . STANFORD . EDU

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Source URL: cs.stanford.edu

Language: English - Date: 2013-05-15 05:53:10
52Probability and statistics / Probability / Hidden Markov model / Conditional random field / Speech recognition / Mutual information / Sequence labeling / Generative model / Viterbi algorithm / Statistics / Machine learning / Markov models

Hidden Conditional Random Fields for Phone Recognition Yun-Hsuan Sung 1 and Dan Jurafsky 2 1 Electrical Engineering, Stanford University

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Source URL: nlp.stanford.edu

Language: English - Date: 2010-01-07 17:30:55
53Randomness / Non-uniform random numbers / Monte Carlo methods / Numerical analysis / Sampling / Low-discrepancy sequence / Peak signal-to-noise ratio / Pseudo-random number sampling / Inverse transform sampling / Mathematics / Applied mathematics / Probability and statistics

Total Variation Reconstruction From Quasi-Random Samples Colas Schretter1,2 , Ignace Loris3 , Ann Dooms1,2 and Peter Schelkens1,2 1 Vrije Universiteit Brussel, Dept. of Electronics and Informatics, Pleinlaan 2, B-1050 Br

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Source URL: homepages.ulb.ac.be

Language: English - Date: 2014-02-26 11:10:13
54Random number generation / Hardware random number generator / Pseudorandomness / Statistical randomness / Pseudorandom number generator / One-time pad / Random sequence / Fortuna / Entropy / Randomness / Cryptography / Applied mathematics

Table of contents Summary .............................................................................................................................................. 3 Applications of random numbers..................

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Source URL: www.idquantique.com

Language: English - Date: 2015-03-23 10:17:12
55Sequence motif / Random sequence / Statistical hypothesis testing / Normal distribution / Randomness / Statistics / Bioinformatics / Probability and statistics

Assessing the significance of Sets of Words Assessing the significance of Sets of Words V. Boeva, J. Cl´ement, M. R´egnier and M. Vandenbogaert Moscow, Marne-la-Vall´ ee-CNRS, INRIA, Biozentrum

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Source URL: www.cs.ucr.edu

Language: English - Date: 2005-07-08 16:24:16
56Non-uniform random numbers / Sampling / Probability and statistics / Randomness / Numerical analysis / Pseudorandomness / Random sample / Low-discrepancy sequence / Pseudo-random number sampling / Mathematics / Statistics / Applied mathematics

Total Variation Reconstruction From Quasi-Random Samples ABSTRACT Pseudo-random numbers are often used for generating incoherent uniformly distributed sample distributions.

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Source URL: homepages.ulb.ac.be

Language: English - Date: 2014-11-17 05:12:41
57Causality / Random number generation / Random sequence / A Million Random Digits with 100 / 000 Normal Deviates / Hardware random number generator / Randomness extractor / Randomness / Cryptography / Probability and statistics

CDM (Pseudo-) Randomness Klaus Sutner Carnegie Mellon University

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Source URL: www.idquantique.com

Language: English - Date: 2015-03-23 10:17:13
58Statistics / Randomness tests / Diehard tests / Random number generation / Pseudorandom number generator / Wald–Wolfowitz runs test / Pseudorandomness / Random sequence / Entropy / Randomness / Cryptography / Probability and statistics

REDEFINING RANDOMNESS QUANTIS WHEN RANDOM NUMBERS CANNOT BE LEFT TO CHANCE RANDOMNESS TEST REPORT

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Source URL: www.idquantique.com

Language: English - Date: 2015-03-23 10:17:12
59Statistical theory / Estimation theory / Conditional random field / Theoretical computer science / Supervised learning / Kullback–Leibler divergence / Semi-supervised learning / Expectation–maximization algorithm / Conditional entropy / Statistics / Machine learning / Information theory

Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling Feng Jiao University of Waterloo Abstract We present a new semi-supervised training

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Source URL: webdocs.cs.ualberta.ca

Language: English - Date: 2006-12-28 15:24:48
60Artificial intelligence / Information extraction / Applied mathematics / Sequence labeling / Parsing / Learning / Machine learning / Conditional random field / Theoretical computer science

Scholarly Document Information Extraction using Extensible Features for Efficient Higher Order Semi-CRFs Nguyen Viet Cuong, Muthu Kumar Chandrasekaran, Min-Yen Kan, Wee Sun Lee∗ Department of Computer Science, National

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Source URL: aye.comp.nus.edu.sg

Language: English - Date: 2015-04-23 05:59:28
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