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» Termination Analysis with Algorithmic Learning
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ICML
2008
IEEE
16 years 6 months ago
Listwise approach to learning to rank: theory and algorithm
This paper aims to conduct a study on the listwise approach to learning to rank. The listwise approach learns a ranking function by taking individual lists as instances and minimi...
Fen Xia, Tie-Yan Liu, Jue Wang, Wensheng Zhang, Ha...
WEBI
2005
Springer
15 years 11 months ago
Real-Time Learning Behavior Mining for e-Learning
Over the last years, we have witnessed an explosive growth of e-learning. More and more learning contents have been published and shared over the Internet. Therefore, how to progr...
Yen-Hung Kuo, Juei-Nan Chen, Yu-Lin Jeng, Yueh-Min...
SIAMNUM
2010
123views more  SIAMNUM 2010»
15 years 20 days ago
Critical Analysis of the Spanning Tree Techniques
Two algorithms based upon a tree-cotree decomposition, called in this paper spanning tree technique (STT) and generalized spanning tree technique (GSTT), have been shown to be usef...
Pawel Dlotko, Ruben Specogna
NIPS
1996
15 years 7 months ago
Early Brain Damage
Optimal Brain Damage (OBD) is a method for reducing the number of weights in a neural network. OBD estimates the increase in cost function if weights are pruned and is a valid app...
Volker Tresp, Ralph Neuneier, Hans-Georg Zimmerman...
ECAL
2005
Springer
15 years 11 months ago
The Quantitative Law of Effect is a Robust Emergent Property of an Evolutionary Algorithm for Reinforcement Learning
An evolutionary reinforcement-learning algorithm, the operation of which was not associated with an optimality condition, was instantiated in an artificial organism. The algorithm ...
J. J. McDowell, Zahra Ansari