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SIGCSE
2004
ACM
125views Education» more  SIGCSE 2004»
15 years 10 months ago
Agent-based cooperative learning: a proof-of-concept experiment
This paper presents an innovative multiagent system to support cooperative learning among students both in the real classrooms and in distance education. The system, called I-MIND...
Leen-Kiat Soh, Hong Jiang, Charles Ansorge
163
Voted
CEEMAS
2003
Springer
15 years 9 months ago
On a Dynamical Analysis of Reinforcement Learning in Games: Emergence of Occam's Razor
Modeling learning agents in the context of Multi-agent Systems requires an adequate understanding of their dynamic behaviour. Usually, these agents are modeled similar to the di...
Karl Tuyls, Katja Verbeeck, Sam Maes
KDD
1999
ACM
199views Data Mining» more  KDD 1999»
15 years 8 months ago
The Application of AdaBoost for Distributed, Scalable and On-Line Learning
We propose to use AdaBoost to efficiently learn classifiers over very large and possibly distributed data sets that cannot fit into main memory, as well as on-line learning wher...
Wei Fan, Salvatore J. Stolfo, Junxin Zhang
COLT
1993
Springer
15 years 8 months ago
Learning Binary Relations Using Weighted Majority Voting
In this paper we demonstrate how weighted majority voting with multiplicative weight updating can be applied to obtain robust algorithms for learning binary relations. We first pre...
Sally A. Goldman, Manfred K. Warmuth
ACMICEC
2006
ACM
110views ECommerce» more  ACMICEC 2006»
15 years 8 months ago
Learning inventory management strategies for commodity supply chains with customer satisfaction
In this paper, we look at a supply chain of commodity goods where customer demand is uncertain and partly based on reputation, and where raw material replenishment is uncertain in...
Jeroen van Luin, Han La Poutré, J. Will M. ...