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EMNLP
2007
13 years 9 months ago
Bootstrapping Feature-Rich Dependency Parsers with Entropic Priors
One may need to build a statistical parser for a new language, using only a very small labeled treebank together with raw text. We argue that bootstrapping a parser is most promis...
David A. Smith, Jason Eisner
SDM
2008
SIAM
161views Data Mining» more  SDM 2008»
13 years 9 months ago
Efficient Maximum Margin Clustering via Cutting Plane Algorithm
Maximum margin clustering (MMC) is a recently proposed clustering method, which extends the theory of support vector machine to the unsupervised scenario and aims at finding the m...
Bin Zhao, Fei Wang, Changshui Zhang
SDM
2008
SIAM
144views Data Mining» more  SDM 2008»
13 years 9 months ago
Semi-supervised Multi-label Learning by Solving a Sylvester Equation
Multi-label learning refers to the problems where an instance can be assigned to more than one category. In this paper, we present a novel Semi-supervised algorithm for Multi-labe...
Gang Chen, Yangqiu Song, Fei Wang, Changshui Zhang
CSREAPSC
2006
13 years 9 months ago
Design and Implementation of SONICA (Service Oriented Network Interoperability for Component Adaptation) for Multimedia Pervasiv
Abstract - Recent advances in multimedia network systems have led to the development of a new generation of applications that associate the use of various multimedia objects. The c...
Hiroshi Hayakawa, Takahiro Koita, Kenya Sato
FLAIRS
2004
13 years 9 months ago
The Optimality of Naive Bayes
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
Harry Zhang