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FOCS
2005
IEEE
16 years 2 hour ago
Sampling-based Approximation Algorithms for Multi-stage Stochastic
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
Chaitanya Swamy, David B. Shmoys
GECCO
2005
Springer
129views Optimization» more  GECCO 2005»
15 years 12 months ago
Real-coded crossover as a role of kernel density estimation
This paper presents a kernel density estimation method by means of real-coded crossovers. Estimation of density algorithms (EDAs) are evolutionary optimization techniques, which d...
Jun Sakuma, Shigenobu Kobayashi
DAGSTUHL
2007
15 years 7 months ago
Sampling-based Approximation Algorithms for Multi-stage Stochastic Optimization
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
Chaitanya Swamy, David B. Shmoys
LREC
2008
176views Education» more  LREC 2008»
15 years 7 months ago
Towards Spanish Verbs' Selectional Preferences Automatic Acquisition: Semantic Annotation of the SenSem Corpus
We present the results of an agreement task carried out in the framework of the KNOW Project and consisting in manually annotating an agreement sample totaling 50 sentences extrac...
Jordi Carrera, Irene Castellón, Salvador Cl...
MASCOTS
2003
15 years 7 months ago
Quantifying the Properties of SRPT Scheduling
This paper uses a probe-based sampling approach to study the behavioural properties of Web server scheduling strategies, such as Processor Sharing (PS) and Shortest Remaining Proc...
Mingwei Gong, Carey L. Williamson