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» Ensemble Methods for Unsupervised WSD
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SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
13 years 8 months ago
Cluster Ensemble Selection
This paper studies the ensemble selection problem for unsupervised learning. Given a large library of different clustering solutions, our goal is to select a subset of solutions t...
Xiaoli Z. Fern, Wei Lin
CORR
2008
Springer
143views Education» more  CORR 2008»
13 years 7 months ago
A chain dictionary method for Word Sense Disambiguation and applications
Abstract. A large class of unsupervised algorithms for Word Sense Disambiguation (WSD) is that of dictionary-based methods. Various algorithms have as the root Lesk's algorith...
Doina Tatar, Gabriela Serban, Andreea Diana Mihis,...
CIBB
2008
13 years 9 months ago
Unsupervised Stability-Based Ensembles to Discover Reliable Structures in Complex Bio-molecular Data
The assessment of the reliability of clusters discovered in bio-molecular data is a central issue in several bioinformatics problems. Several methods based on the concept of stabil...
Alberto Bertoni, Giorgio Valentini
ICAI
2004
13 years 8 months ago
A Comparison of Resampling Methods for Clustering Ensembles
-- Combination of multiple clusterings is an important task in the area of unsupervised learning. Inspired by the success of supervised bagging algorithms, we propose a resampling ...
Behrouz Minaei-Bidgoli, Alexander P. Topchy, Willi...
EMNLP
2008
13 years 9 months ago
Using Bilingual Knowledge and Ensemble Techniques for Unsupervised Chinese Sentiment Analysis
It is a challenging task to identify sentiment polarity of Chinese reviews because the resources for Chinese sentiment analysis are limited. Instead of leveraging only monolingual...
Xiaojun Wan