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» Parameterized Learning Complexity
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COLT
2005
Springer
15 years 12 months ago
Rank, Trace-Norm and Max-Norm
We study the rank, trace-norm and max-norm as complexity measures of matrices, focusing on the problem of fitting a matrix with matrices having low complexity. We present generali...
Nathan Srebro, Adi Shraibman
AIED
2007
Springer
16 years 16 days ago
Effect of Metacognitive Support on Student Behaviors in Learning by Teaching Environments
We have developed environments that use teaching as a metacognitive, reflective, and iterative process to help middle school students learn about complex processes. We demonstrate ...
Jason Tan, John Wagster, Yanna Wu, Gautam Biswas
ICMAS
1998
15 years 7 months ago
Multi-Machine Scheduling - A Multi-Agent Learning Approach
Multi-machine scheduling, that is, the assigment of jobs to machines such that certain performance demands like cost and time effectiveness are fulfilled, is a ubiquitous and comp...
Wilfried Brauer, Gerhard Weiß
BROADNETS
2007
IEEE
15 years 10 months ago
Reinforcement learning based routing in all-optical networks with physical impairments
Abstract-- We present and evaluate a reinforcement learningbased RWA algorithm for all-optical networks subject to physical impairments. The technique is suitable for decentralized...
Yvan Pointurier, Fariba Heidari
STAIRS
2008
175views Education» more  STAIRS 2008»
15 years 7 months ago
Learning Process Behavior with EDY: an Experimental Analysis
This paper presents an extensive evaluation, on artificial datasets, of EDY, an unsupervised algorithm for automatically synthesizing a Structured Hidden Markov Model (S-HMM) from ...
Ugo Galassi