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» Evaluating learning algorithms and classifiers
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NIPS
2008
13 years 10 months ago
Automatic online tuning for fast Gaussian summation
Many machine learning algorithms require the summation of Gaussian kernel functions, an expensive operation if implemented straightforwardly. Several methods have been proposed to...
Vlad I. Morariu, Balaji Vasan Srinivasan, Vikas C....
CEC
2010
IEEE
13 years 10 months ago
Learning-assisted evolutionary search for scalable function optimization: LEM(ID3)
Inspired originally by the Learnable Evolution Model(LEM) [5], we investigate LEM(ID3), a hybrid of evolutionary search with ID3 decision tree learning. LEM(ID3) involves interleav...
Guleng Sheri, David Corne
WWW
2007
ACM
14 years 9 months ago
Measuring credibility of users in an e-learning environment
Learning Villages (LV) is an E-learning platform for people's online discussions and frequently citing postings of one another. In this paper, we propose a novel method to ra...
Wei Wei, Jimmy Ho-Man Lee, Irwin King
ACL
2003
13 years 10 months ago
Probabilistic Text Structuring: Experiments with Sentence Ordering
Ordering information is a critical task for natural language generation applications. In this paper we propose an approach to information ordering that is particularly suited for ...
Mirella Lapata
ACL
1998
13 years 10 months ago
General-to-Specific Model Selection for Subcategorization Preference
This paper proposes a novel method for learning probability models of subcategorization preference of verbs. We consider the issues of case dependencies and noun class generalizat...
Takehito Utsuro, Takashi Miyata, Yuji Matsumoto