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» Preference learning with Gaussian processes
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CIKM
2008
Springer
13 years 9 months ago
A sparse gaussian processes classification framework for fast tag suggestions
Tagged data is rapidly becoming more available on the World Wide Web. Web sites which populate tagging services offer a good way for Internet users to share their knowledge. An in...
Yang Song, Lu Zhang 0007, C. Lee Giles
ICCV
2011
IEEE
12 years 7 months ago
Shape-constrained Gaussian Process Regression for Facial-point-based Head-pose Normalization
Given the facial points extracted from an image of a face in an arbitrary pose, the goal of facial-point-based headpose normalization is to obtain the corresponding facial points ...
Ognjen Rudovic, Maja Pantic
IJCNLP
2005
Springer
14 years 25 days ago
PP-Attachment Disambiguation Boosted by a Gigantic Volume of Unambiguous Examples
We present a PP-attachment disambiguation method based on a gigantic volume of unambiguous examples extracted from raw corpus. The unambiguous examples are utilized to acquire prec...
Daisuke Kawahara, Sadao Kurohashi
EACL
2009
ACL Anthology
14 years 8 months ago
Sentiment Summarization: Evaluating and Learning User Preferences
We present the results of a large-scale, end-to-end human evaluation of various sentiment summarization models. The evaluation shows that users have a strong preference for summar...
Kevin Lerman, Sasha Blair-Goldensohn, Ryan T. McDo...
ICANN
2010
Springer
13 years 7 months ago
A Cooperative and Penalized Competitive Learning Approach to Gaussian Mixture Clustering
Abstract. Competitive learning approaches with penalization or cooperation mechanism have been applied to unsupervised data clustering due to their attractive ability of automatic ...
Yiu-ming Cheung, Hong Jia