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» Adaptive Learning from Evolving Data Streams
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125
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GPEM
2000
121views more  GPEM 2000»
15 years 3 months ago
Bayesian Methods for Efficient Genetic Programming
ct. A Bayesian framework for genetic programming GP is presented. This is motivated by the observation that genetic programming iteratively searches populations of fitter programs ...
Byoung-Tak Zhang
141
Voted
ICDCS
2002
IEEE
15 years 8 months ago
An Extensible and Scalable Content Adaptation Pipeline Architecture to Support Heterogeneous Clients
The importance of middleware and content adaptation has previously been demonstrated for pervasive use of Web-based applications. In this paper we propose a modular, extensible, a...
Thomas Phan, George Zorpas, Rajive Bagrodia
108
Voted
MM
2006
ACM
79views Multimedia» more  MM 2006»
15 years 9 months ago
ViCo: an adaptive distributed video correlation system
Many emerging applications such as video sensor monitoring can benefit from an on-line video correlation system, which can be used to discover linkages between different video s...
Xiaohui Gu, Zhen Wen, Ching-Yung Lin, Philip S. Yu
130
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Rapid speaker adaptation with speaker adaptive training and non-negative matrix factorization
In this paper, we describe a novel speaker adaptation algorithm based on Gaussian mixture weight adaptation. A small number of latent speaker vectors are estimated with non-negati...
Xueru Zhang, Kris Demuynck, Hugo Van hamme
138
Voted
CIKM
2010
Springer
15 years 2 months ago
Partial drift detection using a rule induction framework
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
Damon Sotoudeh, Aijun An