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» On Randomized Lanczos Algorithms
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SAC
2005
ACM
15 years 5 months ago
Stochastic scheduling of active support vector learning algorithms
Active learning is a generic approach to accelerate training of classifiers in order to achieve a higher accuracy with a small number of training examples. In the past, simple ac...
Gaurav Pandey, Himanshu Gupta, Pabitra Mitra
KBSE
1997
IEEE
15 years 4 months ago
Genetic Algorithms for Dynamic Test Data Generation
In software testing, it is often desirable to find test inputs that exercise specific program features. To find these inputs by hand is extremely time-consuming, especially whe...
Christoph C. Michael, Gary McGraw, Michael Schatz,...
VLSID
1993
IEEE
136views VLSI» more  VLSID 1993»
15 years 4 months ago
A Simulation-Based Test Generation Scheme Using Genetic Algorithms
This paper discusses a Genetic Algorithm-based method of generating test vectorsfor detecting faults in combinational circuits. The GA-based approach combines the merits of two te...
M. Srinivas, Lalit M. Patnaik
WWW
2004
ACM
16 years 15 days ago
Random surfer with back step
We present a novel link-based ranking algorithm RBS, which may be viewed as an extension of PageRank by back-step feature. Categories and Subject Descriptors H.3.3 [Information Se...
Marcin Sydow
VMV
2001
108views Visualization» more  VMV 2001»
15 years 1 months ago
A Theoretical Comparison of Monte Carlo Radiosity Algorithms
In this paper, we present a theoretical analysis of the error with three basic Monte Carlo radiosity algorithms, based on continuous collision shooting random walks, discrete coll...
Philippe Bekaert, Hans-Peter Seidel