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Harnessing Machine Learning to Improve the Success Rate of Stimuli Generation.

, , , , , and . IEEE Trans. Computers, 55 (11): 1344-1355 (2006)

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Clustering from Constraint Graphs., , and . SDM, page 301-312. SIAM, (2008)Algorithmic aspects of bandwidth trading., , , and . ACM Trans. Algorithms, 3 (1): 10:1-10:19 (2007)Algorithmic Aspects of Bandwidth Trading., , , and . ICALP, volume 2719 of Lecture Notes in Computer Science, page 751-766. Springer, (2003)On-Line Load Banancing in a Hierarchical Server Topology., , and . ESA, volume 1643 of Lecture Notes in Computer Science, page 77-88. Springer, (1999)Combinatorial Interpretations of Dual Fitting and Primal Fitting., and . WAOA, volume 2909 of Lecture Notes in Computer Science, page 137-150. Springer, (2003)A unified approach to approximating resource allocation and scheduling., , , , and . STOC, page 735-744. ACM, (2000)Competitive On-Line Switching Policies., , , and . Algorithmica, 36 (3): 225-247 (2003)On-Line Load Balancing in a Hierarchical Server Topology., , and . SIAM J. Comput., 31 (2): 527-549 (2001)Approximating the Advertisement Placement Problem., and . J. Scheduling, 7 (5): 365-374 (2004)Harnessing machine learning to improve the success rate of stimuli generation., , , , , and . HLDVT, page 112-118. IEEE Computer Society, (2005)