Relations Between Machine Learning Problems - NIPS 2011Workshop rml.anu.edu.au

Relations Between Machine Learning Problems - NIPS 2011Workshop

Relations between machine learning problems an approach to unify the field. Workshop, December 16 or 17, 2011, Sierra Nevada. The only essential knowledge pertains to the. This workshop will focus on relations. Between machine learning problems. The idea is that by better understanding how different machine learning problems relate to each other, we will be able to better understand the field as a whole. For the workshop is several-fold. Typically only care about solving their problem. One question th.

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Jennifer Wortman Vaughan

I am a Senior Researcher at Microsoft Research, New York City. A relatively new collaborative and interdisciplinary basic research lab. For a more complete picture of what I do, take a look at some of my publications. At MSR I have had the opportunity to work with an amazing set of summer interns including Chien-Ju Ho. Who was also my PhD student at UCLA! We start looking at internship applications. And the video from NIPS. I am super excited to be .

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Relations Between Machine Learning Problems - NIPS 2011Workshop

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Relations between machine learning problems an approach to unify the field. Workshop, December 16 or 17, 2011, Sierra Nevada. The only essential knowledge pertains to the. This workshop will focus on relations. Between machine learning problems. The idea is that by better understanding how different machine learning problems relate to each other, we will be able to better understand the field as a whole. For the workshop is several-fold. Typically only care about solving their problem. One question th.

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The web page rml.anu.edu.au states the following, "Relations between machine learning problems an approach to unify the field." I saw that the webpage stated " Workshop, December 16 or 17, 2011, Sierra Nevada." They also said " The only essential knowledge pertains to the. This workshop will focus on relations. The idea is that by better understanding how different machine learning problems relate to each other, we will be able to better understand the field as a whole. For the workshop is several-fold. Typically only care about solving their problem."

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