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» Superset Learning Based on Generalized Loss Minimization
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WCRE
2002
IEEE
15 years 3 months ago
Knowledge-Based Library Re-Factoring for an Open Source Project
Software miniaturization is a form of software refactoring focused on reducing an application to the bare bone. Porting an application on a hand-held device is very likely to requ...
Massimiliano Di Penta, Markus Neteler, Giuliano An...
ICASSP
2010
IEEE
14 years 10 months ago
Distributed learning in cognitive radio networks: Multi-armed bandit with distributed multiple players
—We consider a cognitive radio network with distributed multiple secondary users, where each user independently searches for spectrum opportunities in multiple channels without e...
Keqin Liu, Qing Zhao
UAI
2004
14 years 11 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
NAACL
2010
14 years 8 months ago
Ensemble Models for Dependency Parsing: Cheap and Good?
Previous work on dependency parsing used various kinds of combination models but a systematic analysis and comparison of these approaches is lacking. In this paper we implemented ...
Mihai Surdeanu, Christopher D. Manning
JUCS
2007
98views more  JUCS 2007»
14 years 10 months ago
Focus of Attention in Reinforcement Learning
Abstract: Classification-based reinforcement learning (RL) methods have recently been proposed as an alternative to the traditional value-function based methods. These methods use...
Lihong Li, Vadim Bulitko, Russell Greiner