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PR
2008
131views more  PR 2008»
14 years 9 months ago
A memetic algorithm for evolutionary prototype selection: A scaling up approach
Prototype selection problem consists of reducing the size of databases by removing samples that are considered noisy or not influential on nearest neighbour classification tasks. ...
Salvador García, José Ramón C...
FLAIRS
2007
14 years 11 months ago
Performance Analysis of Evolutionary Search with a Dynamic Restart Policy
In this work we explore how the complexity of a problem domain affects the performance of evolutionary search using a performance-based restart policy. Previous research indicates...
Michael Solano, Istvan Jonyer
ICCAD
2004
IEEE
88views Hardware» more  ICCAD 2004»
15 years 6 months ago
Diagnosis of small-signal parameters for broadband amplifiers through S-parameter measurements and sensitivity-guided evolutiona
Kth increasing uncertainties in the modeling and pmcessing of semiconductor devices, it is essential that the sources of failures be identified once the devices ure manufactured I...
Fang Liu, Sule Ozev, Martin A. Brooke
121
Voted
EC
2007
167views ECommerce» more  EC 2007»
14 years 9 months ago
Comparison-Based Algorithms Are Robust and Randomized Algorithms Are Anytime
Randomized search heuristics (e.g., evolutionary algorithms, simulated annealing etc.) are very appealing to practitioners, they are easy to implement and usually provide good per...
Sylvain Gelly, Sylvie Ruette, Olivier Teytaud
90
Voted
NIPS
2001
14 years 11 months ago
Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms
The paper studies machine learning problems where each example is described using a set of Boolean features and where hypotheses are represented by linear threshold elements. One ...
Roni Khardon, Dan Roth, Rocco A. Servedio