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TKDE
2010
224views more  TKDE 2010»
13 years 8 months ago
Probabilistic Topic Models for Learning Terminological Ontologies
—Probabilistic topic models were originally developed and utilised for document modeling and topic extraction in Information Retrieval. In this paper we describe a new approach f...
Wang Wei, Payam M. Barnaghi, Andrzej Bargiela
TKDE
2010
137views more  TKDE 2010»
13 years 8 months ago
A Survey on Transfer Learning
—A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same feature space and have the same distribution. How...
Sinno Jialin Pan, Qiang Yang
TKDE
2010
164views more  TKDE 2010»
13 years 8 months ago
Defeasible Contextual Reasoning with Arguments in Ambient Intelligence
Abstract—The imperfect nature of context in Ambient Intelligence environments and the special characteristics of the entities that possess and share the available context informa...
Antonis Bikakis, Grigoris Antoniou
TKDE
2008
162views more  TKDE 2008»
13 years 9 months ago
Continuous k-Means Monitoring over Moving Objects
Given a dataset P, a k-means query returns k points in space (called centers), such that the average squared distance between each point in P and its nearest center is minimized. S...
Zhenjie Zhang, Yin Yang, Anthony K. H. Tung, Dimit...
TKDE
2008
121views more  TKDE 2008»
13 years 9 months ago
Kernel Uncorrelated and Regularized Discriminant Analysis: A Theoretical and Computational Study
Linear and kernel discriminant analyses are popular approaches for supervised dimensionality reduction. Uncorrelated and regularized discriminant analyses have been proposed to ove...
Shuiwang Ji, Jieping Ye