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ICML
2000
IEEE
16 years 7 months ago
Less is More: Active Learning with Support Vector Machines
We describe a simple active learning heuristic which greatly enhances the generalization behavior of support vector machines (SVMs) on several practical document classification ta...
Greg Schohn, David Cohn
MSE
2005
IEEE
150views Hardware» more  MSE 2005»
16 years 11 days ago
A Cohesive FPGA-Based System-on-Chip Design Curriculum
A graduate-level computer engineering course sequence at the OGI School of Science and Engineering teaches state-of-the-art digital system design practices and system-on-chip desi...
John D. Lynch, Daniel Hammerstrom, Roy Kravitz
ESANN
2007
15 years 8 months ago
The Intrinsic Recurrent Support Vector Machine
In this work, we present a new model for a Recurrent Support Vector Machine. We call it intrinsic because the complete recurrence is directly incorporated within the considered opt...
Daniel Schneegaß, Anton Maximilian Schä...
GECCO
2011
Springer
240views Optimization» more  GECCO 2011»
14 years 10 months ago
Collisions are helpful for computing unique input-output sequences
Computing unique input-output sequences (UIOs) from finite state machines (FSMs) is important for conformance testing in software engineering, where evolutionary algorithms (EAs)...
Chao Qian, Yang Yu, Zhi-Hua Zhou
ICCSA
2005
Springer
16 years 9 days ago
Comparison of Global Optimization Methods for Drag Reduction in the Automotive Industry
Various global optimization methods are compared in order to find the best strategy to solve realistic drag reduction problems in the automotive industry. All the methods consist ...
Laurent Dumas, Vincent Herbert, Frédé...