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» Problems of learning in multi-agent systems
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AIED
2005
Springer
15 years 9 months ago
On Using Learning Curves to Evaluate ITS
Measuring the efficacy of ITS can be hard because there are many confounding factors: short, well-isolated studies suffer from insufficient interaction with the system, while longe...
Brent Martin, Kenneth R. Koedinger, Antonija Mitro...
ECML
2007
Springer
15 years 10 months ago
On Phase Transitions in Learning Sparse Networks
In this paper we study the identification of sparse interaction networks as a machine learning problem. Sparsity means that we are provided with a small data set and a high number...
Goele Hollanders, Geert Jan Bex, Marc Gyssens, Ron...
SIGMOD
2012
ACM
242views Database» more  SIGMOD 2012»
13 years 6 months ago
Dynamic management of resources and workloads for RDBMS in cloud: a control-theoretic approach
As cloud computing environments become explosively popular, dealing with unpredictable changes, uncertainties, and disturbances in both systems and environments turns out to be on...
Pengcheng Xiong
ICML
2007
IEEE
16 years 5 months ago
Large-scale RLSC learning without agony
The advances in kernel-based learning necessitate the study on solving a large-scale non-sparse positive definite linear system. To provide a deterministic approach, recent resear...
Wenye Li, Kin-Hong Lee, Kwong-Sak Leung
CONTEXT
2007
Springer
15 years 10 months ago
CAMOU: A Simple Integrated eLearning and Planning Techniques Tool
In this paper we present an educational tool which has been designed to manage (learning) knowledge acquired from the interactions with the students, and to automatically aids educ...
David Camacho, María Dolores Rodrígu...