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» Data Reduction Using Multiple Models Integration
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133
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ENGL
2007
101views more  ENGL 2007»
15 years 1 months ago
Multiresolution Knowledge Mining using Wavelet Transform
— Most research in Knowledge Mining deal with the basic models like clustering, classification, regression, association rule mining and so on. In the process of quest for knowled...
R. Pradeep Kumar, P. Nagabhushan
117
Voted
WCRE
2009
IEEE
15 years 8 months ago
Domain Feature Model Recovery from Multiple Applications Using Data Access Semantics and Formal Concept Analysis
Feature models are widely employed in domainspecific software development to specify the domain requirements with commonality and variability. A feature model is usually construct...
Yiming Yang, Xin Peng, Wenyun Zhao
124
Voted
ICCD
2003
IEEE
113views Hardware» more  ICCD 2003»
15 years 7 months ago
Multiple Transition Model and Enhanced Boundary Scan Architecture to Test Interconnects for Signal Integrity
As the technology is shrinking toward 50 nm and the working frequency is going into multi gigahertz range, the effect of interconnects on functionality and performance of system-o...
Mohammad H. Tehranipour, Nisar Ahmed, Mehrdad Nour...
110
Voted
DAC
2008
ACM
16 years 2 months ago
Driver waveform computation for timing analysis with multiple voltage threshold driver models
This paper introduces an accurate and efficient electrical analysis of logic gates modeled as Multiple Voltage Threshold Models (MVTM) loaded by the associated interconnect. MVTMs...
Peter Feldmann, Soroush Abbaspour, Debjit Sinha, G...
JMLR
2010
150views more  JMLR 2010»
14 years 8 months ago
Supervised Dimension Reduction Using Bayesian Mixture Modeling
We develop a Bayesian framework for supervised dimension reduction using a flexible nonparametric Bayesian mixture modeling approach. Our method retrieves the dimension reduction ...
Kai Mao, Feng Liang, Sayan Mukherjee