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» An Adaptive Approach to Data Placement
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AAAI
2011
14 years 6 months ago
Heterogeneous Transfer Learning with RBMs
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
Bin Wei, Christopher Pal
CORR
2010
Springer
59views Education» more  CORR 2010»
15 years 4 months ago
Noise Invalidation Denoising
—A denoising technique based on noise invalidation is proposed. The adaptive approach derives a noise signature from the noise order statistics and utilizes the signature to deno...
Soosan Beheshti, Masoud Hashemi, Xiao-Ping Zhang, ...
SDM
2003
SIAM
125views Data Mining» more  SDM 2003»
15 years 7 months ago
Scalable, Balanced Model-based Clustering
This paper presents a general framework for adapting any generative (model-based) clustering algorithm to provide balanced solutions, i.e., clusters of comparable sizes. Partition...
Shi Zhong, Joydeep Ghosh
TIME
2005
IEEE
15 years 11 months ago
An XML-Based Framework for Temporal Database Implementation
This paper presents an XML-based approach to implementing the parametric model of temporal databases. In the parametric model, attribute values are functions of time and the entir...
Seo-Young Noh, Shashi K. Gadia
APLAS
2008
ACM
15 years 8 months ago
Minimal Ownership for Active Objects
Active objects offer a structured approach to concurrency, encapsulating both unshared state and a thread of control. For efficient data transfer, data should be passed by referenc...
Dave Clarke, Tobias Wrigstad, Johan Östlund, ...