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NIPS
2008
15 years 4 months ago
Learning with Consistency between Inductive Functions and Kernels
Regularized Least Squares (RLS) algorithms have the ability to avoid over-fitting problems and to express solutions as kernel expansions. However, we observe that the current RLS ...
Haixuan Yang, Irwin King, Michael R. Lyu
146
Voted
ACL
2010
15 years 1 months ago
Optimizing Informativeness and Readability for Sentiment Summarization
We propose a novel algorithm for sentiment summarization that takes account of informativeness and readability, simultaneously. Our algorithm generates a summary by selecting and ...
Hitoshi Nishikawa, Takaaki Hasegawa, Yoshihiro Mat...
IMCSIT
2010
15 years 1 months ago
TREF - TRanslation Enhancement Framework for Japanese-English
Abstract--We present a method for improving existing statistical machine translation methods using an knowledge-base compiled from a bilingual corpus as well as sequence alignment ...
Bartholomäus Wloka, Werner Winiwarter
CVPR
2004
IEEE
16 years 5 months ago
Local Smoothing for Manifold Learning
We propose methods for outlier handling and noise reduction using weighted local linear smoothing for a set of noisy points sampled from a nonlinear manifold. The methods can be u...
Jin Hyeong Park, Zhenyue Zhang, Hongyuan Zha, Rang...
124
Voted
ICML
2007
IEEE
16 years 4 months ago
Spectral clustering and transductive learning with multiple views
We consider spectral clustering and transductive inference for data with multiple views. A typical example is the web, which can be described by either the hyperlinks between web ...
Dengyong Zhou, Christopher J. C. Burges