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» Learning to learn with the informative vector machine
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IJON
2006
78views more  IJON 2006»
15 years 4 months ago
Improving self-organization of document collections by semantic mapping
In text management tasks, the dimensionality reduction becomes necessary to computation and interpretability of the results generated by machine learning algorithms. This paper de...
Renato Fernandes Corrêa, Teresa Bernarda Lud...
AI
2005
Springer
15 years 4 months ago
Fast Protein Superfamily Classification Using Principal Component Null Space Analysis
Abstract. The protein family classification problem, which consists of determining the family memberships of given unknown protein sequences, is very important for a biologist for ...
Leon French, Alioune Ngom, Luis Rueda
ACL
2010
15 years 2 months ago
It Makes Sense: A Wide-Coverage Word Sense Disambiguation System for Free Text
Word sense disambiguation (WSD) systems based on supervised learning achieved the best performance in SensEval and SemEval workshops. However, there are few publicly available ope...
Zhi Zhong, Hwee Tou Ng
138
Voted
ICASSP
2011
IEEE
14 years 8 months ago
Outlier-aware robust clustering
Clustering is a basic task in a variety of machine learning applications. Partitioning a set of input vectors into compact, wellseparated subsets can be severely affected by the p...
Pedro A. Forero, Vassilis Kekatos, Georgios B. Gia...
KDD
2005
ACM
192views Data Mining» more  KDD 2005»
16 years 5 months ago
Modeling and predicting personal information dissemination behavior
In this paper, we propose a new way to automatically model and predict human behavior of receiving and disseminating information by analyzing the contact and content of personal c...
Xiaodan Song, Ching-Yung Lin, Belle L. Tseng, Ming...