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People | MachineLearning@MIT

Skip to main content. As an interdisciplinary field, Machine Learning spans multiple labs at MIT.

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People | MachineLearning@MIT | machinelearning.mit.edu Reviews

https://machinelearning.mit.edu

Skip to main content. As an interdisciplinary field, Machine Learning spans multiple labs at MIT.

LINKS TO THIS WEBSITE

tamarabroderick.com tamarabroderick.com

Tamara Broderick

http://www.tamarabroderick.com/index.html

I am the ITT Career Development Assistant Professor at MIT. I work in the areas of statistics. Before MIT, I completed my PhD at UC Berkeley. You can learn more about my background in the following short bio. Electrical Engineering and Computer Science ( EECS. Computer Science and Artificial Intelligence Laboratory ( CSAIL. Institute for Data, Systems, and Society ( IDSS. Interested in working with me? I have an open postdoc position. Learn more at this link. Adapted from template design by Arcsin.

mltea.mit.edu mltea.mit.edu

Machine Learning @ MIT | Machine Learning Tea

http://mltea.mit.edu/machine-learning-mit

Skip to main content. Machine Learning @ MIT. Here are various resources detailing what MIT has to offer for students interested in machine learning. A list of faculty who do ML research can be found at:. Website for a similar (and very thorough) compilation of resources.

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Applied Machine Learning Lab. Machine Learning @ QMUL. We’re the Applied Machine Learning lab at Queen Mary University of London,. A research group within Electronic Engineering and Computer Science. Our members belong to various groups within EECS, including Risk and Information Management. We study a variety of ML methodologies:. Transfer and Multi-Task Learning. Cross-modal and zero-shot learning. Active learning and Active perception. Weakly and semi-supervised learning. 8230;and application areas:.

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Active Learning of Regular Expressions for Entity Extraction. Annotated strings for learning text extractors. Automatic Synthesis of Regular Expressions from Examples. Can A Machine Replace Humans In Building Regular Expressions? Evolutionary Inference of Attribute-based Access Control Policies. Hidden fraudulent URLs dataset. Inference of Regular Expressions for Text Extraction from Examples. Paper citations for important Computer Science venues. XML data for automatic schema generation. New section on ...

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People | MachineLearning@MIT

Skip to main content. As an interdisciplinary field, Machine Learning spans multiple labs at MIT.

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Machine Learning @ UW-Madison brings together people, research, and courses from across the campus focused on the theory and application of machine learning. Proudly powered by WordPress.

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Home | Machine Learning & Artificial Intelligence Group | Washington University in St. Louis

Machine Learning and Artificial Intelligence Group. Welcome to the Machine Learning and Artificial Intelligence Group! 2018 Washington University in St. Louis.