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» Learning Teleoreactive Logic Programs from Problem Solving
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ICNC
2005
Springer
14 years 25 days ago
Training Data Selection for Support Vector Machines
Abstract. In recent years, support vector machines (SVMs) have become a popular tool for pattern recognition and machine learning. Training a SVM involves solving a constrained qua...
Jigang Wang, Predrag Neskovic, Leon N. Cooper
SIAMCOMP
2008
107views more  SIAMCOMP 2008»
13 years 7 months ago
Holographic Algorithms
Leslie Valiant recently proposed a theory of holographic algorithms. These novel algorithms achieve exponential speed-ups for certain computational problems compared to naive algo...
Leslie G. Valiant
DFT
2006
IEEE
105views VLSI» more  DFT 2006»
14 years 1 months ago
Thermal-Aware SoC Test Scheduling with Test Set Partitioning and Interleaving
1 High temperature has become a major problem for system-on-chip testing. In order to reduce the test time while keeping the temperature of the chip under test within a safe range,...
Zhiyuan He, Zebo Peng, Petru Eles, Paul M. Rosinge...
RIVF
2008
13 years 8 months ago
Simple but effective methods for combining kernels in computational biology
Complex biological data generated from various experiments are stored in diverse data types in multiple datasets. By appropriately representing each biological dataset as a kernel ...
Hiroaki Tanabe, Tu Bao Ho, Canh Hao Nguyen, Saori ...
PRL
2008
198views more  PRL 2008»
13 years 7 months ago
Pose estimation and tracking using multivariate regression
This paper presents an extension of the relevance vector machine (RVM) algorithm to multivariate regression. This allows the application to the task of estimating the pose of an a...
Arasanathan Thayananthan, Ramanan Navaratnam, Bj&o...