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ICML
2004
IEEE
14 years 8 months ago
Approximate inference by Markov chains on union spaces
A standard method for approximating averages in probabilistic models is to construct a Markov chain in the product space of the random variables with the desired equilibrium distr...
Max Welling, Michal Rosen-Zvi, Yee Whye Teh
ICML
2003
IEEE
14 years 8 months ago
Online Convex Programming and Generalized Infinitesimal Gradient Ascent
Convex programming involves a convex set F Rn and a convex cost function c : F R. The goal of convex programming is to find a point in F which minimizes c. In online convex prog...
Martin Zinkevich
CHI
2005
ACM
14 years 8 months ago
Examining task engagement in sensor-based statistical models of human interruptibility
The computer and communication systems that office workers currently use tend to interrupt at inappropriate times or unduly demand attention because they have no way to determine ...
James Fogarty, Andrew Jensen Ko, Htet Htet Aung, E...
NIPS
2008
13 years 9 months ago
Multi-Level Active Prediction of Useful Image Annotations for Recognition
We introduce a framework for actively learning visual categories from a mixture of weakly and strongly labeled image examples. We propose to allow the categorylearner to strategic...
Sudheendra Vijayanarasimhan, Kristen Grauman
GIS
2010
ACM
13 years 6 months ago
Location disambiguation in local searches using gradient boosted decision trees
Local search is a specialization of the web search that allows users to submit geographically constrained queries. However, one of the challenges for local search engines is to un...
Ritesh Agrawal, James G. Shanahan