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152
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KDD
2006
ACM
381views Data Mining» more  KDD 2006»
16 years 2 months ago
GPLAG: detection of software plagiarism by program dependence graph analysis
Along with the blossom of open source projects comes the convenience for software plagiarism. A company, if less self-disciplined, may be tempted to plagiarize some open source pr...
Chao Liu 0001, Chen Chen, Jiawei Han, Philip S. Yu
128
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GECCO
2009
Springer
112views Optimization» more  GECCO 2009»
15 years 9 months ago
Soft memory for stock market analysis using linear and developmental genetic programming
Recently, a form of memory usage was introduced for genetic programming (GP) called “soft memory.” Rather than have a new value completely overwrite the old value in a registe...
Garnett Carl Wilson, Wolfgang Banzhaf
ERSHOV
2009
Springer
15 years 6 months ago
Anti-unification Algorithms and Their Applications in Program Analysis
A term t is called a template of terms t1 and t2 iff t1 = t1 and t2 = t2, for some substitutions 1 and 2. A template t of t1 and t2 is called the most specific iff for any template...
Peter E. Bulychev, Egor V. Kostylev, Vladimir A. Z...
115
Voted
MASCOTS
2001
15 years 3 months ago
Performing File Prediction with a Program-Based Successor Model
Recent increases in CPU performance have surpassed those in hard drives. As a result, disk operations have become more expensive in terms of the number of CPU cycles spent waiting...
Tsozen Yeh, Darrell D. E. Long, Scott A. Brandt
CORR
2006
Springer
153views Education» more  CORR 2006»
15 years 2 months ago
Genetic Programming, Validation Sets, and Parsimony Pressure
Fitness functions based on test cases are very common in Genetic Programming (GP). This process can be assimilated to a learning task, with the inference of models from a limited n...
Christian Gagné, Marc Schoenauer, Marc Pari...