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» A distributed machine learning framework
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ECML
2003
Springer
15 years 5 months ago
Support Vector Machines with Example Dependent Costs
Abstract. Classical learning algorithms from the fields of artificial neural networks and machine learning, typically, do not take any costs into account or allow only costs depe...
Ulf Brefeld, Peter Geibel, Fritz Wysotzki
ICALT
2003
IEEE
15 years 5 months ago
A Distributed Software System Architecture For Wireless Peer-to-Peer Collaborative Learning
Students often turn to their peers for help in order to learn a new concept or lesson introduced by a teacher in class. This establishes roles of tutor and learner between student...
Indrani Vedula, Richard Han
ECTEL
2009
Springer
15 years 3 months ago
Remote Hands-On Experience: Distributed Collaboration with Augmented Reality
One claim of Technology-Enhanced Learning (TEL) is to support and exploit benefits from distance learning and remote collaboration. On the other hand, several approaches to learnin...
Matthias Krauß, Kai Riege, Marcus Winter, Ly...
AROBOTS
2000
109views more  AROBOTS 2000»
14 years 11 months ago
Multiagent Systems: A Survey from a Machine Learning Perspective
Distributed Artificial Intelligence (DAI) has existed as a subfield of AI for less than two decades. DAI is concerned with systems that consist of multiple independent entities th...
Peter Stone, Manuela M. Veloso
ML
2007
ACM
104views Machine Learning» more  ML 2007»
14 years 11 months ago
A general criterion and an algorithmic framework for learning in multi-agent systems
We offer a new formal criterion for agent-centric learning in multi-agent systems, that is, learning that maximizes one’s rewards in the presence of other agents who might also...
Rob Powers, Yoav Shoham, Thuc Vu