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» Superset Learning Based on Generalized Loss Minimization
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WCRE
2002
IEEE
15 years 11 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
15 years 6 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
15 years 7 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
15 years 3 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»
15 years 5 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