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» Predicting mining activity with parallel genetic algorithms
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110
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GECCO
2004
Springer
160views Optimization» more  GECCO 2004»
15 years 3 months ago
Finding Effective Software Metrics to Classify Maintainability Using a Parallel Genetic Algorithm
The ability to predict the quality of a software object can be viewed as a classification problem, where software metrics are the features and expert quality rankings the class lab...
Rodrigo A. Vivanco, Nicolino J. Pizzi
92
Voted
SOCO
2008
Springer
14 years 9 months ago
GP on SPMD parallel graphics hardware for mega Bioinformatics data mining
Abstract We demonstrate a SIMD C++ genetic programming system on a single 128 node parallel nVidia GeForce 8800 GTX GPU under RapidMind's GPGPU Linux software by predicting te...
William B. Langdon, Andrew P. Harrison
PDPTA
2000
14 years 11 months ago
Evaluation of Neural and Genetic Algorithms for Synthesizing Parallel Storage Schemes
Exploiting compile time knowledge to improve memory bandwidth can produce noticeable improvements at run-time [13, 1]. Allocating the data structure [13] to separate memories when...
Mayez A. Al-Mouhamed, Husam Abu-Haimed
ADMA
2009
Springer
105views Data Mining» more  ADMA 2009»
15 years 22 days ago
Mining User Position Log for Construction of Personalized Activity Map
Consider a scenario in which a smart phone automatically saves the user’s positional records for personalized location-based applications. The smart phone will infer patterns of ...
Hui Fang, Wen-Jing Hsu, Larry Rudolph
102
Voted
GECCO
2004
Springer
166views Optimization» more  GECCO 2004»
15 years 3 months ago
Evolutionary Ensemble for Stock Prediction
We propose a genetic ensemble of recurrent neural networks for stock prediction model. The genetic algorithm tunes neural networks in a two-dimensional and parallel framework. The ...
Yung-Keun Kwon, Byung Ro Moon