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» Techniques for Optimization of Net Algorithms
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IPPS
2006
IEEE
15 years 10 months ago
Parallelization of module network structure learning and performance tuning on SMP
As an extension of Bayesian network, module network is an appropriate model for inferring causal network of a mass of variables from insufficient evidences. However learning such ...
Hongshan Jiang, Chunrong Lai, Wenguang Chen, Yuron...
FPGA
2006
ACM
155views FPGA» more  FPGA 2006»
15 years 7 months ago
Improvements to technology mapping for LUT-based FPGAs
The paper presents several improvements to state-of-theart in FPGA technology mapping exemplified by a recent advanced technology mapper DAOmap [Chen and Cong, ICCAD `04]. Improve...
Alan Mishchenko, Satrajit Chatterjee, Robert K. Br...
SIGPRO
2008
107views more  SIGPRO 2008»
15 years 3 months ago
Exploiting geometry for improved hybrid AOA/TDOA-based localization
In this paper we examine the geometrically constrained optimization approach to localization with hybrid bearing (angle of arrival, AOA) and time difference of arrival (TDOA) sens...
Adrian N. Bishop, Baris Fidan, Kutluyil Dogancay, ...
CVPR
2011
IEEE
15 years 1 months ago
Dynamic Batch Mode Active Learning
Active learning techniques have gained popularity in reducing human effort to annotate data instances for inducing a classifier. When faced with large quantities of unlabeled dat...
Shayok Chakraborty, Vineeth Balasubramanian, Sethu...
JMLR
2010
165views more  JMLR 2010»
14 years 10 months ago
Learning with Blocks: Composite Likelihood and Contrastive Divergence
Composite likelihood methods provide a wide spectrum of computationally efficient techniques for statistical tasks such as parameter estimation and model selection. In this paper,...
Arthur Asuncion, Qiang Liu, Alexander T. Ihler, Pa...