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SOFSEM
2010
Springer
14 years 4 months ago
Regret Minimization and Job Scheduling
Regret minimization has proven to be a very powerful tool in both computational learning theory and online algorithms. Regret minimization algorithms can guarantee, for a single de...
Yishay Mansour
CIMCA
2008
IEEE
14 years 2 months ago
Seller's Strategies for Predicting Winning Bid Prices in Online Auctions
Online auctions have become extremely popular in recent years. Ability to predict winning bid prices accurately can help bidders to maximize their profit. This paper proposes a nu...
Yevgeniya Kovalchuk
ECCC
2007
180views more  ECCC 2007»
13 years 7 months ago
Adaptive Algorithms for Online Decision Problems
We study the notion of learning in an oblivious changing environment. Existing online learning algorithms which minimize regret are shown to converge to the average of all locally...
Elad Hazan, C. Seshadhri
ICASSP
2011
IEEE
12 years 11 months ago
Social norm and long-run learning in peer-to-peer networks
We start by formulating the resource sharing in peer-to-peer (P2P) networks as a random-matching gift-giving game, where self-interested peers aim at maximizing their own long-ter...
Yu Zhang, Mihaela van der Schaar
WMTE
2005
IEEE
14 years 1 months ago
Supporting Activity Awareness for Teams-Games-Tournaments with GSM Network
The Internet can be used to promote collaborative learning among students. However, since the web-based collaborative learning environment relies entirely on the availability of c...
Chen-Chung Liu, Shu-Yuan Tao, Jinu-Ning Nee, Baw-J...