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EUROCOLT
1999
Springer
14 years 2 months ago
Averaging Expert Predictions
We consider algorithms for combining advice from a set of experts. In each trial, the algorithm receives the predictions of the experts and produces its own prediction. A loss func...
Jyrki Kivinen, Manfred K. Warmuth
SIGECOM
2010
ACM
149views ECommerce» more  SIGECOM 2010»
14 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
COLT
1997
Springer
14 years 2 months ago
On-line Learning and the Metrical Task System Problem
We relate two problems that have been explored in two distinct communities. The first is the problem of combining expert advice, studied extensively in the computational learning...
Avrim Blum, Carl Burch
SIGSOFT
2005
ACM
14 years 10 months ago
KenyaEclipse: learning to program in eclipse
A fundamental part of a Computer Science degree is learning to program. Rather than starting students on a full commercial language, we favour using a dedicated "teaching lan...
Robert Chatley, Thomas Timbul
TAOSD
2010
13 years 8 months ago
A Graph-Based Aspect Interference Detection Approach for UML-Based Aspect-Oriented Models
Abstract. Aspect Oriented Modeling (AOM) techniques facilitate separate modeling of concerns and allow for a more flexible composition of these than traditional modeling technique...
Selim Ciraci, Wilke Havinga, Mehmet Aksit, Christo...