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» Using Gaussian Processes to Optimize Expensive Functions
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ICSEA
2007
IEEE
14 years 4 months ago
A Novel Framework for Test Domain Reduction using Extended Finite State Machine
Test case generation is an expensive, tedious, and errorprone process in software testing. In this paper, test case generation is accomplished using an Extended Finite State Machi...
Nutchakorn Ngamsaowaros, Peraphon Sophatsathit
IMECS
2007
13 years 11 months ago
Metamodel-Assisted Global Search Using a Probing Technique
—This paper presents a new metamodel-assisted metaheuristic algorithm for optimisation problems involving computationally expensive simulations. The algorithm, called Global Prob...
Anna Persson, Henrik Grimm, Amos Ng
MM
2005
ACM
134views Multimedia» more  MM 2005»
14 years 3 months ago
Formulating context-dependent similarity functions
Tasks of information retrieval depend on a good distance function for measuring similarity between data instances. The most effective distance function must be formulated in a con...
Gang Wu, Edward Y. Chang, Navneet Panda
TNN
2010
155views Management» more  TNN 2010»
13 years 4 months ago
Incorporating the loss function into discriminative clustering of structured outputs
Clustering using the Hilbert Schmidt independence criterion (CLUHSIC) is a recent clustering algorithm that maximizes the dependence between cluster labels and data observations ac...
Wenliang Zhong, Weike Pan, James T. Kwok, Ivor W. ...
TWC
2008
141views more  TWC 2008»
13 years 10 months ago
Bursty transmission and glue pouring: on wireless channels with overhead costs
Power efficiency is a capital issue in the study of mobile wireless nodes owing to constraints on their battery size and weight. In practice, especially for low-power nodes, it is ...
Pamela Youssef-Massaad, Lizhong Zheng, Muriel M&ea...