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AAAI
2012
13 years 10 months ago
A Dynamic Rationalization of Distance Rationalizability
Distance rationalizability is an intuitive paradigm for developing and studying voting rules: given a notion of consensus and a distance function on preference profiles, a ration...
Craig Boutilier, Ariel D. Procaccia
AAAI
2012
13 years 10 months ago
Kernel-Based Reinforcement Learning on Representative States
Markov decision processes (MDPs) are an established framework for solving sequential decision-making problems under uncertainty. In this work, we propose a new method for batchmod...
Branislav Kveton, Georgios Theocharous
AAAI
2012
13 years 10 months ago
Online Task Assignment in Crowdsourcing Markets
We explore the problem of assigning heterogeneous tasks to workers with different, unknown skill sets in crowdsourcing markets such as Amazon Mechanical Turk. We first formalize ...
Chien-Ju Ho, Jennifer Wortman Vaughan
WWW
2007
ACM
16 years 8 months ago
Is high-quality vod feasible using P2P swarming?
Peer-to-peer technologies are increasingly becoming the medium of choice for delivering media content, both professional and homegrown, to large user populations. Indeed, current ...
Siddhartha Annapureddy, Saikat Guha, Christos Gkan...
KDD
2009
ACM
210views Data Mining» more  KDD 2009»
16 years 8 months ago
Large-scale behavioral targeting
Behavioral targeting (BT) leverages historical user behavior to select the ads most relevant to users to display. The state-of-the-art of BT derives a linear Poisson regression mo...
Ye Chen, Dmitry Pavlov, John F. Canny
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