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MFCS
2004
Springer
15 years 2 months ago
Optimal Preemptive Scheduling for General Target Functions
We study the problem of optimal preemptive scheduling with respect to a general target function. Given n jobs with associated weights and m ≤ n uniformly related machines, one a...
Leah Epstein, Tamir Tassa
COLT
2010
Springer
14 years 7 months ago
Strongly Non-U-Shaped Learning Results by General Techniques
In learning, a semantic or behavioral U-shape occurs when a learner rst learns, then unlearns, and, nally, relearns, some target concept (on the way to success). Within the framew...
John Case, Timo Kötzing
94
Voted
ML
2007
ACM
104views Machine Learning» more  ML 2007»
14 years 9 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
65
Voted
ICML
2010
IEEE
14 years 10 months ago
Graded Multilabel Classification: The Ordinal Case
We propose a generalization of multilabel classification that we refer to as graded multilabel classification. The key idea is that, instead of requesting a yes-no answer to the q...
Weiwei Cheng, Krzysztof Dembczynski, Eyke Hül...
91
Voted
AWIC
2003
Springer
15 years 2 months ago
A Machine Learning Based Evaluation of a Negotiation between Agents Involving Fuzzy Counter-Offers
Abstract. Negotiation plays a fundamental role in systems composed of multiple autonomous agents. Some negotiations may require a more elaborated dialogue where agents would explai...
Javier Carbo Rubiera, Agapito Ledezma