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» Convex Factorization Machines
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83
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COLT
2001
Springer
15 years 5 months ago
Learning Rates for Q-Learning
In this paper we derive convergence rates for Q-learning. We show an interesting relationship between the convergence rate and the learning rate used in Q-learning. For a polynomi...
Eyal Even-Dar, Yishay Mansour
HPCN
1997
Springer
15 years 4 months ago
Performance Evaluation of HPCN Applications
The performance attained by parallel programs executed on multiprocessor systems is largely in uenced both by the characteristics of the code and by those of the system architectu...
Alessandro P. Merlo
COLT
1993
Springer
15 years 4 months ago
Lower Bounds on the Vapnik-Chervonenkis Dimension of Multi-Layer Threshold Networks
We consider the problem of learning in multilayer feed-forward networks of linear threshold units. We show that the Vapnik-Chervonenkis dimension of the class of functions that ca...
Peter L. Bartlett
97
Voted
ECTEL
2006
Springer
15 years 4 months ago
The L2C Project: Learning to Collaborate Through Advanced SmallWorld Simulations
Abstract. L2C - Learning to Collaborate - is an ongoing research project addressing the design of effective immersive simulation-based learning experiences supporting the developme...
Albert A. Angehrn, Thierry Nabeth
104
Voted
ICALT
2009
IEEE
15 years 3 months ago
iGLS: Intelligent Grouping for Online Collaborative Learning
One of the factors that affect successful collaborative learning is the composition of collaborative groups. Due to the lack of intelligent grouping according to learners’ pedag...
Shuangyan Liu, Mike Joy, Nathan Griffiths