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» Multiagent learning using a variable learning rate
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UAI
2004
15 years 3 months ago
A Bayesian Approach toward Active Learning for Collaborative Filtering
Collaborative filtering is a useful technique for exploiting the preference patterns of a group of users to predict the utility of items for the active user. In general, the perfo...
Rong Jin, Luo Si
EMNLP
2007
15 years 3 months ago
Determining Case in Arabic: Learning Complex Linguistic Behavior Requires Complex Linguistic Features
This paper discusses automatic determination of case in Arabic. This task is an important part and major source of errors in full diacritization of Arabic. We use a goldstandard s...
Nizar Habash, Ryan Gabbard, Owen Rambow, Seth Kuli...
ICML
2004
IEEE
15 years 7 months ago
Kernel-based discriminative learning algorithms for labeling sequences, trees, and graphs
We introduce a new perceptron-based discriminative learning algorithm for labeling structured data such as sequences, trees, and graphs. Since it is fully kernelized and uses poin...
Hisashi Kashima, Yuta Tsuboi
114
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KDD
2005
ACM
106views Data Mining» more  KDD 2005»
15 years 8 months ago
Enhancing the lift under budget constraints: an application in the mutual fund industry
A lift curve, with the true positive rate on the y-axis and the customer pull (or contact) rate on the x-axis, is often used to depict the model performance in many data mining ap...
Lian Yan, Michael Fassino, Patrick Baldasare
AAMAS
2007
Springer
15 years 8 months ago
Bifurcation Analysis of Reinforcement Learning Agents in the Selten's Horse Game
Abstract. The application of reinforcement learning algorithms to multiagent domains may cause complex non-convergent dynamics. The replicator dynamics, commonly used in evolutiona...
Alessandro Lazaric, Jose Enrique Munoz de Cote, Fa...