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GECCO
2000
Springer
122views Optimization» more  GECCO 2000»
15 years 10 months ago
Genetic Programming with Statically Scoped Local Variables
This paper presents an extension to genetic programming to allow the evolution of programs containing local variables with static scope which obey the invariant that all variables...
Evan Kirshenbaum
MIDDLEWARE
2010
Springer
15 years 5 months ago
Anonygator: Privacy and Integrity Preserving Data Aggregation
Abstract. Data aggregation is a key aspect of many distributed applications, such as distributed sensing, performance monitoring, and distributed diagnostics. In such settings, use...
Krishna P. N. Puttaswamy, Ranjita Bhagwan, Venkata...
TIFS
2010
82views more  TIFS 2010»
15 years 5 months ago
Lossless data embedding in electronic inks
—This paper presents a novel lossless data embedding algorithm for electronic inks. The proposed algorithm first computes the analytical ink-curve for each stroke as a set of sm...
Hong Cao, Alex C. Kot
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
16 years 4 days ago
Applying both positive and negative selection to supervised learning for anomaly detection
This paper presents a novel approach of applying both positive selection and negative selection to supervised learning for anomaly detection. It first learns the patterns of the n...
Xiaoshu Hang, Honghua Dai
PPOPP
1997
ACM
15 years 10 months ago
Effective Fine-Grain Synchronization for Automatically Parallelized Programs Using Optimistic Synchronization Primitives
As shared-memory multiprocessors become the dominant commodity source of computation, parallelizing compilers must support mainstream computations that manipulate irregular, point...
Martin C. Rinard