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SIGECOM
2010
ACM
149views ECommerce» more  SIGECOM 2010»
15 years 2 months ago
A new understanding of prediction markets via no-regret learning
We explore the striking mathematical connections that exist between market scoring rules, cost function based prediction markets, and no-regret learning. We first show that any c...
Yiling Chen, Jennifer Wortman Vaughan
DIS
2009
Springer
15 years 4 months ago
An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting
Within-network regression addresses the task of regression in partially labeled networked data where labels are sparse and continuous. Data for inference consist of entities associ...
Annalisa Appice, Michelangelo Ceci, Donato Malerba
AAAI
2011
13 years 10 months ago
Learned Behaviors of Multiple Autonomous Agents in Smart Grid Markets
One proposed approach to managing a large complex Smart Grid is through Broker Agents who buy electrical power from distributed producers, and also sell power to consumers, via a ...
Prashant P. Reddy, Manuela M. Veloso
MM
2009
ACM
195views Multimedia» more  MM 2009»
15 years 4 months ago
The effectiveness of intelligent scheduling for multicast video-on-demand
As more and more video content is made available and accessed on-demand, content and service providers face challenges of scale. Today’s delivery mechanisms, especially unicast,...
Vaneet Aggarwal, A. Robert Calderbank, Vijay Gopal...
WWW
2011
ACM
14 years 4 months ago
Learning to re-rank: query-dependent image re-ranking using click data
Our objective is to improve the performance of keyword based image search engines by re-ranking their baseline results. To this end, we address three limitations of existing searc...
Vidit Jain, Manik Varma