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November 7, 2013. An Introduction to Variable and Feature Selection (Isabelle Guyon, André Elisseeff). October 21, 2013. Using Maximum Entropy for Text Classification (Kamal Nigam, John Lafferty, Andrew McCallum). October 19, 2013. A Spelling Correction Program Based on a Noisy Channel Model (Mark D. Kemighan, Kenneth W. Church, William A. Gale). This paper describes a new program, correct. The first factor,. Is a prior model of word probabilities; the second factor,. October 18, 2013. October 17, 2013.

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November 7, 2013. An Introduction to Variable and Feature Selection (Isabelle Guyon, André Elisseeff). October 21, 2013. Using Maximum Entropy for Text Classification (Kamal Nigam, John Lafferty, Andrew McCallum). October 19, 2013. A Spelling Correction Program Based on a Noisy Channel Model (Mark D. Kemighan, Kenneth W. Church, William A. Gale). This paper describes a new program, correct. The first factor,. Is a prior model of word probabilities; the second factor,. October 18, 2013. October 17, 2013.

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DataScholars - Data Science, Computer Science, Machine Learning, Artificial Intelligence, Computational Social Science, Data Mining, Analytics, Visualization | datascholars.com Reviews

https://datascholars.com

November 7, 2013. An Introduction to Variable and Feature Selection (Isabelle Guyon, André Elisseeff). October 21, 2013. Using Maximum Entropy for Text Classification (Kamal Nigam, John Lafferty, Andrew McCallum). October 19, 2013. A Spelling Correction Program Based on a Noisy Channel Model (Mark D. Kemighan, Kenneth W. Church, William A. Gale). This paper describes a new program, correct. The first factor,. Is a prior model of word probabilities; the second factor,. October 18, 2013. October 17, 2013.

INTERNAL PAGES

datascholars.com

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Using Maximum Entropy for Text Classification (Kamal Nigam, John Lafferty, Andrew McCallum)

http://datascholars.com/post/2013/10/21/using_maximum_entropy_for_text_classification

October 21, 2013. Using Maximum Entropy for Text Classification (Kamal Nigam, John Lafferty, Andrew McCallum). Comments powered by Disqus.

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Information Visualization for Large-Scale Data Workflows (Michael Conover)

http://datascholars.com/post/2013/10/11/information_visualization_for_large-scale_data_workflows

October 11, 2013. Information Visualization for Large-Scale Data Workflows (Michael Conover). Gives a talk on information visualization for large-scale data workflows. Michael Conover: Information Visualization for Large-Scale Data Workflows. Comments powered by Disqus.

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Statistical Data Mining Tutorials (Andrew Moore)

http://datascholars.com/post/2013/10/17/statistical_data_mining_tutorials

October 17, 2013. Statistical Data Mining Tutorials (Andrew Moore). If you want to learn statistical data mining. One place to learn this is with Andrew W. Moore. S Statistical Data Mining Tutorial. Here is Andrew's table of contents:. Probability for Data Miners. A review of a world that you've probably encountered before: real-valued random variables, probability density functions, and how to deal with multivariate (i.e. high dimensional) probablity densities. Here's where you can review th...Gaussians...

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An Introduction to Variable and Feature Selection (Isabelle Guyon, André Elisseeff)

http://datascholars.com/post/2013/11/07/an_introduction_to_variable_and_feature_selection

November 7, 2013. An Introduction to Variable and Feature Selection (Isabelle Guyon, André Elisseeff). Comments powered by Disqus.

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DataScholars - Data Science, Computer Science, Machine Learning, Artificial Intelligence, Computational Social Science, Data Mining, Analytics, Visualization

November 7, 2013. An Introduction to Variable and Feature Selection (Isabelle Guyon, André Elisseeff). October 21, 2013. Using Maximum Entropy for Text Classification (Kamal Nigam, John Lafferty, Andrew McCallum). October 19, 2013. A Spelling Correction Program Based on a Noisy Channel Model (Mark D. Kemighan, Kenneth W. Church, William A. Gale). This paper describes a new program, correct. The first factor,. Is a prior model of word probabilities; the second factor,. October 18, 2013. October 17, 2013.

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Open Data, Open Knowledge. We are currently setting up the foundations of the Data Scholar project. By May 2014 you will learn more about our objectives and strategy, and on how you might enjoy working with us as a data scholar. Distilling knowledge from data. Driving curiosity towards discovery. Promoting interdisciplinary team work strongly resonates with the very goal of programmes such as the Gates Cambridge scholarship.

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Tuesday, November 16, 2010. Scholarship for developing countries in TAIWAN, National Taiwan University of Science and Technology. Financial Aid Available to International Graduate Students Enrolled in English-taught Programs at the National Taiwan University of Science and Technology. This financial aid is made available to international graduate students for the purpose of globalizing the campus by attracting outstanding graduate students from abroad.Scholarship for developing countries in TAIWAN. The 2...

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