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» Approximation Methods for Supervised Learning
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105
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ICML
2008
IEEE
16 years 1 months ago
Sample-based learning and search with permanent and transient memories
We present a reinforcement learning architecture, Dyna-2, that encompasses both samplebased learning and sample-based search, and that generalises across states during both learni...
David Silver, Martin Müller 0003, Richard S. ...
124
Voted
AAAI
2012
13 years 3 months ago
Emoticon Smoothed Language Models for Twitter Sentiment Analysis
Twitter sentiment analysis (TSA) has become a hot research topic in recent years. The goal of this task is to discover the attitude or opinion of the tweets, which is typically fo...
Kun-Lin Liu, Wu-Jun Li, Minyi Guo
CIKM
2010
Springer
14 years 10 months ago
Web page classification on child suitability
Children spend significant amounts of time on the Internet. Recent studies showed, that during these periods they are often not under adult supervision. This work presents an auto...
Carsten Eickhoff, Pavel Serdyukov, Arjen P. de Vri...
113
Voted
CIKM
2008
Springer
15 years 2 months ago
Classifying networked entities with modularity kernels
Statistical machine learning techniques for data classification usually assume that all entities are i.i.d. (independent and identically distributed). However, real-world entities...
Dell Zhang, Robert Mao
88
Voted
EMNLP
2006
15 years 2 months ago
Better Informed Training of Latent Syntactic Features
We study unsupervised methods for learning refinements of the nonterminals in a treebank. Following Matsuzaki et al. (2005) and Prescher (2005), we may for example split NP withou...
Markus Dreyer, Jason Eisner