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» Maximal Vector Computation in Large Data Sets
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AAAI
2008
13 years 11 months ago
Markov Blanket Feature Selection for Support Vector Machines
Based on Information Theory, optimal feature selection should be carried out by searching Markov blankets. In this paper, we formally analyze the current Markov blanket discovery ...
Jianqiang Shen, Lida Li, Weng-Keen Wong
ATS
2000
IEEE
145views Hardware» more  ATS 2000»
14 years 1 months ago
Compaction-based test generation using state and fault information
We present a new test generation procedure for sequential circuits using newly traversed state and newly detected fault information obtained between successive iterations of vecto...
Ashish Giani, Shuo Sheng, Michael S. Hsiao, Vishwa...
ICCS
2007
Springer
14 years 3 months ago
Hessian-Based Model Reduction for Large-Scale Data Assimilation Problems
Assimilation of spatially- and temporally-distributed state observations into simulations of dynamical systems stemming from discretized PDEs leads to inverse problems with high-di...
Omar Bashir, Omar Ghattas, Judith Hill, Bart G. va...
COMPCON
1996
IEEE
14 years 1 months ago
Broadband Algorithms with the MicroUnity MediaProcessor
An important objective of the MicroUnity mediaprocessor is to allow the design of systems that replace hardwired functionality with software. One of the key design techniques that...
Curtis Abbott, Henry Massalin, Kevin Peterson, Tom...
BMCBI
2007
153views more  BMCBI 2007»
13 years 9 months ago
A new pairwise kernel for biological network inference with support vector machines
Background: Much recent work in bioinformatics has focused on the inference of various types of biological networks, representing gene regulation, metabolic processes, protein-pro...
Jean-Philippe Vert, Jian Qiu, William Stafford Nob...