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» Covering Numbers for Support Vector Machines
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GLOBECOM
2008
IEEE
15 years 6 months ago
Distributed Regression in Sensor Networks with a Reduced-Order Kernel Model
Abstract—Over the past few years, wireless sensor networks received tremendous attention for monitoring physical phenomena, such as the temperature field in a given region. Appl...
Paul Honeine, Mehdi Essoloh, Cédric Richard...
IROS
2008
IEEE
191views Robotics» more  IROS 2008»
15 years 6 months ago
Local Gaussian process regression for real-time model-based robot control
— High performance and compliant robot control requires accurate dynamics models which cannot be obtained analytically for sufficiently complex robot systems. In such cases, mac...
Duy Nguyen-Tuong, Jan Peters
IROS
2007
IEEE
162views Robotics» more  IROS 2007»
15 years 6 months ago
Genetic MRF model optimization for real-time victim detection in search and rescue
— One primary goal in rescue robotics is to deploy a team of robots for coordinated victim search after a disaster. This requires robots to perform subtasks, such as victim detec...
Alexander Kleiner, Rainer Kümmerle
ICDM
2006
IEEE
119views Data Mining» more  ICDM 2006»
15 years 5 months ago
Fast On-line Kernel Learning for Trees
Kernel methods have been shown to be very effective for applications requiring the modeling of structured objects. However kernels for structures usually are too computational dem...
Fabio Aiolli, Giovanni Da San Martino, Alessandro ...
83
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CSB
2005
IEEE
166views Bioinformatics» more  CSB 2005»
15 years 5 months ago
Automated Validation of Polymerase Chain Reactions Using Amplicon Melting Curves
PCR, the polymerase chain reaction, is a fundamental tool of molecular biology. Quantitative PCR is the goldstandard methodology for determination of DNA copy numbers, quantitatin...
Tobias P. Mann, Richard Humbert, John A. Stamatoya...