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DAWAK
2008
Springer
15 years 9 months ago
Is a Voting Approach Accurate for Opinion Mining?
In this paper, we focus on classifying documents according to opinion and value judgment they contain. The main originality of our approach is to combine linguistic pre-processing,...
Michel Plantié, Mathieu Roche, Gérar...
EDM
2008
92views Data Mining» more  EDM 2008»
15 years 8 months ago
Mining Free-form Spoken Responses to Tutor Prompts
How can an automated tutor assess children's spoken responses despite imperfect speech recognition? We address this challenge in the context of tutoring children in explicit s...
Xiaonang Zhang, Jack Mostow, Nell Duke, Christina ...
SAC
2009
ACM
16 years 2 months ago
Combining statistics and semantics via ensemble model for document clustering
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan
PAKDD
2009
ACM
151views Data Mining» more  PAKDD 2009»
16 years 2 months ago
Budget Semi-supervised Learning
In this paper we propose to study budget semi-supervised learning, i.e., semi-supervised learning with a resource budget, such as a limited memory insufficient to accommodate and/...
Zhi-Hua Zhou, Michael Ng, Qiao-Qiao She, Yuan Jian...
ICDM
2005
IEEE
185views Data Mining» more  ICDM 2005»
16 years 24 days ago
Semi-Supervised Mixture of Kernels via LPBoost Methods
We propose an algorithm to construct classification models with a mixture of kernels from labeled and unlabeled data. The derived classifier is a mixture of models, each based o...
Jinbo Bi, Glenn Fung, Murat Dundar, R. Bharat Rao