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» On Computing Functions with Uncertainty
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GECCO
2005
Springer
195views Optimization» more  GECCO 2005»
16 years 10 days ago
Evolutionary strategies for multi-scale radial basis function kernels in support vector machines
In support vector machines (SVM), the kernel functions which compute dot product in feature space significantly affect the performance of classifiers. Each kernel function is suit...
Tanasanee Phienthrakul, Boonserm Kijsirikul
EUROCRYPT
2004
Springer
16 years 6 days ago
Hash Function Balance and Its Impact on Birthday Attacks
Textbooks tell us that a birthday attack on a hash function h with range size r requires r1/2 trials (hash computations) to find a collision. But this is quite misleading, being t...
Mihir Bellare, Tadayoshi Kohno
MFCS
2004
Springer
16 years 5 days ago
Optimal Preemptive Scheduling for General Target Functions
We study the problem of optimal preemptive scheduling with respect to a general target function. Given n jobs with associated weights and m ≤ n uniformly related machines, one a...
Leah Epstein, Tamir Tassa
ICCAD
1996
IEEE
141views Hardware» more  ICCAD 1996»
15 years 11 months ago
An observability-based code coverage metric for functional simulation
Functional simulation is the most widely used method for design verification. At various levels of abstraction, e.g., behavioral, register-transfer level and gate level, the design...
Srinivas Devadas, Abhijit Ghosh, Kurt Keutzer
FLOPS
2006
Springer
15 years 10 months ago
Crossing State Lines: Adapting Object-Oriented Frameworks to Functional Reactive Languages
Functional reactive programming integrates dynamic dataflow with functional programming to offer an elegant and powerful model for expressing computations over time-varying values....
Daniel Ignatoff, Gregory H. Cooper, Shriram Krishn...