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» Optimizing for Reduced Code Space using Genetic Algorithms
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NIPS
2000
15 years 3 months ago
Improved Output Coding for Classification Using Continuous Relaxation
Output coding is a general method for solving multiclass problems by reducing them to multiple binary classification problems. Previous research on output coding has employed, alm...
Koby Crammer, Yoram Singer
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 5 months ago
String transformation-based Bayesian classification or proteins
We describe a Markov chain Bayesian classification tool, SCS, that can perform data-driven classification of proteins and protein segments. Training data for interesting classific...
Timothy Meekhof, Gary W. Daughdrill, Robert B. Hec...
GECCO
2004
Springer
132views Optimization» more  GECCO 2004»
15 years 7 months ago
Robust and Efficient Genetic Algorithms with Hierarchical Niching and a Sustainable Evolutionary Computation Model
This paper proposes a new niching method named hierarchical niching, which combines spatial niching in search space and a continuous temporal niching concept. The method is natural...
Jianjun Hu, Erik D. Goodman
TMC
2010
130views more  TMC 2010»
15 years 9 days ago
SYNAPSE++: Code Dissemination in Wireless Sensor Networks Using Fountain Codes
—This paper presents SYNAPSE++, a system for over the air reprogramming of wireless sensor networks (WSNs). In contrast to previous solutions, which implement plain negative ackn...
Michele Rossi, Nicola Bui, Giovanni Zanca, Luca St...
TJS
2002
160views more  TJS 2002»
15 years 1 months ago
Adaptive Optimizing Compilers for the 21st Century
Historically, compilers have operated by applying a fixed set of optimizations in a predetermined order. We call such an ordered list of optimizations a compilation sequence. This...
Keith D. Cooper, Devika Subramanian, Linda Torczon