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Dimensionality Reduction

Dimensionality Reduction

Dimensionality Reduction. June 2013. Computer Graphics Course. What is high dimensional data?. Images. Videos. Documents. Most data, actually!. How many dimensions?. Images – dimension 3·X·Y This is the number of bytes in the image file We can treat each byte as a dimension

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626 views • 46 slides
Bilateral Trade in Textiles and Apparel in the U.S. under the Caribbean Basin Initiative: Gravity Model Approach

Bilateral Trade in Textiles and Apparel in the U.S. under the Caribbean Basin Initiative: Gravity Model Approach

Bilateral Trade in Textiles and Apparel in the U.S. under the Caribbean Basin Initiative: Gravity Model Approach. Osei-Agyeman Yeboah 1 Saleem Shaik 2 Victor Ofori-Boadu 1 Albert Allen 3 Shawn Wozniak 4. 1 North Carolina A&T State University 2 North Dakota State University

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561 views • 29 slides
HR Analytics: Recent Developments and Applications John P. Hausknecht, Ph.D. Cornell University

HR Analytics: Recent Developments and Applications John P. Hausknecht, Ph.D. Cornell University

HR Analytics: Recent Developments and Applications John P. Hausknecht, Ph.D. Cornell University. HR Analytics. Systematic data collection and analysis designed to improve talent and business-related decisions Interest in analytics growing substantially HBR article on “Talent Analytics”

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394 views • 11 slides
Los Alamos National Laboratory Wins Four 2005 R&D 100 Awards

Los Alamos National Laboratory Wins Four 2005 R&D 100 Awards

U N C L A S S I F I E D. U N C L A S S I F I E D. Los Alamos National Laboratory Wins Four 2005 R&D 100 Awards. CartaBlanca: A High-Efficiency, Object-Oriented, General-Purpose Computer Simulation Environment MESA: Measuring Enzyme-Substrate Affinities

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273 views • 11 slides
HR Analytics: Recent Developments and Applications John P. Hausknecht, Ph.D. Cornell University

HR Analytics: Recent Developments and Applications John P. Hausknecht, Ph.D. Cornell University

HR Analytics: Recent Developments and Applications John P. Hausknecht, Ph.D. Cornell University. HR Analytics. Systematic data collection and analysis designed to improve talent and business-related decisions Interest in analytics growing substantially HBR article on “Talent Analytics”

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408 views • 11 slides
CMS 165 Lecture 18

CMS 165 Lecture 18

CMS 165 Lecture 18. Summing up. Most surprising/interesting things learnt in this class. Bias-variance trade-off in non-classical setting Over-parametrization regime where traditional bias-variance don’t behave the same Robustness – min-max games (data augmentation + adversarial training)

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56 views • 4 slides

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