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The artificial intelligence group studies the computational mechanisms underlying intelligent behavior. We are active in a wide variety of research areas, including machine learning, natural language processing, probabilistic reasoning, automated planning, machine reading, and intelligent user interfaces. UW CSE is one of the leading centers for AI research in the world, as demonstrated by our tra
Email me! I'm a third year graduate student in the Department of Computer Science and Engineering at the University of Washington. My adviser is Oren Etzioni and I'm funded by an NDSEG Fellowship. Publications 2010 A Latent Dirichlet Allocation Method for Selectional Preferences Alan Ritter, Mausam, Oren Etzioni To appear in proceedings of ACL 2010 Unsupervised Modeling of Twitter Conversations
Yasutaka Furukawa Post-doctoral Research Associate Department of Computer Science and Engineering University of Washington Box 352350, Seattle, Washington 98195-2350, USA Office: Allen Center 276 Email: click here Phone: +1-206-543-3069 Fax: +1-206-543-2969 I work for Google now, while I am still involved in some academic projects. I hope to provide exciting products to people in the worl
SUPPLE: Automatic Generation of Personalizable User Interfaces Last updated: August 12, 2009 Updates August 28, 2009: This page is no longer actively maintained. To view a short video demonstrating Supple's capabilities, to read about recent developments, or to see a list of media mentions, the the new site. Overview Today's user interfaces are typically designed with the assumption that they are
Welcome to the VFML (Very Fast Machine Learning) toolkit for mining high-speed data streams and very large data sets. VFML is made up of three main components. The first is a collection of tools and APIs that help a user develop new learning algorithms. The second component is a collection of implementations of important learning algorithms. The third component is a collection of scalable learning
Department of Computer Science and Engineering University of Washington This reseach is funded by the National Science Foundation under grant nr. IIS-0097329, Project Report Ground Truth Database Object Recognition Demos Project Summary With the advent of powerful but inexpensive computers and storage devices and with the availability of the World Wide Web, image databases have moved from research
Connect With #UWAllen Paul G. Allen School of Computer Science & Engineering University of Washington Main Administrative Offices: Paul G. Allen Center, Box 352350 185 E Stevens Way NE Seattle, WA 98195-2350 Directions
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