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» Parameter space exploration with Gaussian process trees
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QRE
2008
140views more  QRE 2008»
13 years 7 months ago
Discrete mixtures of kernels for Kriging-based optimization
: Kriging-based exploration strategies often rely on a single Ordinary Kriging model which parametric covariance kernel is selected a priori or on the basis of an initial data set....
David Ginsbourger, Céline Helbert, Laurent ...
WSC
2004
13 years 9 months ago
Simulation in Context: Using Data Farming for Decision Support
Data Farming leverages high performance computing to run simple models many times. This process allows for the exploration of massive parameter spaces relatively quickly. This pap...
Philip S. Barry, Matthew T. K. Koehler
HICSS
2002
IEEE
191views Biometrics» more  HICSS 2002»
14 years 15 days ago
Mindmap: Utilizing Multiple Taxonomies and Visualization to Understand a Document Collection
We present a novel system and methodology for browsing and exploring topics and concepts within a document collection. The process begins with the generation of multiple taxonomie...
W. Scott Spangler, Jeffrey T. Kreulen, Justin Less...
ICASSP
2009
IEEE
14 years 2 months ago
Probablistic modelling of F0 in unvoiced regions in HMM based speech synthesis
HMM based synthesis has attracted great interest due to its compact and flexible modelling of spectral and prosodic parameters. In this approach, short term spectra, fundamental ...
Kai Yu, Tomoki Toda, Milica Gasic, Simon Keizer, F...
ISSAC
1995
Springer
155views Mathematics» more  ISSAC 1995»
13 years 11 months ago
On the Implementation of Dynamic Evaluation
Dynamic evaluation is a technique for producing multiple results according to a decision tree which evolves with program execution. Sometimes it is desired to produce results for ...
Peter A. Broadbery, T. Gómez-Díaz, S...