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» Optimization by Stochastic Continuation
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122
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ICDM
2010
IEEE
135views Data Mining» more  ICDM 2010»
15 years 2 months ago
Learning a Bi-Stochastic Data Similarity Matrix
An idealized clustering algorithm seeks to learn a cluster-adjacency matrix such that, if two data points belong to the same cluster, the corresponding entry would be 1; otherwise ...
Fei Wang, Ping Li, Arnd Christian König
ICIP
2010
IEEE
15 years 2 months ago
Stochastic gradient descent for robust inverse photomask synthesis in optical lithography
Optical lithography is a critical step in the semiconductor manufacturing process, and one key problem is the design of the photomask for a particular circuit pattern, given the o...
Ningning Jia, Edmund Y. Lam
JSAC
2011
159views more  JSAC 2011»
14 years 11 months ago
An Anti-Jamming Stochastic Game for Cognitive Radio Networks
—Various spectrum management schemes have been proposed in recent years to improve the spectrum utilization in cognitive radio networks. However, few of them have considered the ...
Beibei Wang, Yongle Wu, K. J. Ray Liu, T. Charles ...
GECCO
2010
Springer
174views Optimization» more  GECCO 2010»
15 years 7 months ago
Real-coded genetic algorithm benchmarked on noiseless black-box optimization testbed
Genetic algorithms—a class of stochastic population-based optimization techniques—have been widely realized as the effective tools to solve complicated optimization problems ...
Thanh-Do Tran, Gang-Gyoo Jin
154
Voted
SIGMOD
2000
ACM
141views Database» more  SIGMOD 2000»
15 years 8 months ago
Counting, Enumerating, and Sampling of Execution Plans in a Cost-Based Query Optimizer
Testing an SQL database system by running large sets of deterministic or stochastic SQL statements is common practice in commercial database development. However, code defects oft...
Florian Waas, César A. Galindo-Legaria