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» Using Gaussian Processes to Optimize Expensive Functions
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ICASSP
2011
IEEE
12 years 11 months ago
Structured precision modelling with Cholesky Basis Superposition for speech recognition
Structured precision modelling is an important approach to improve the intra-frame correlation modelling of the standard HMM, where Gaussian mixture model with diagonal covariance...
Lei Jia, Kai Yu, Bo Xu
CISS
2007
IEEE
14 years 2 months ago
Interference Mitigating in Wireless Networks Using Prior Knowledge
Abstract— We propose a framework to mitigate the interference in high data rate mobile wireless networking. Interference is a fundamental obstacle to achieve high data rates in w...
Kejing Liu, Stephan Bohacek, Javier Garcia-Frias
AUTOMATICA
2005
112views more  AUTOMATICA 2005»
13 years 7 months ago
Optimal controller tuning for nonlinear processes
: This work proposes a systematic methodology for the optimal selection of controller parameters, in the sense of minimizing a performance index which is a quadratic function of th...
Nikolaos Kazantzis, Costas Kravaris, Costas Tseron...
ICASSP
2009
IEEE
13 years 11 months ago
Dirichlet process mixture models with multiple modalities
The Dirichlet process can be used as a nonparametric prior for an infinite-dimensional probability mass function on the parameter space of a mixture model. The set of parameters o...
John William Paisley, Lawrence Carin
IPPS
2007
IEEE
14 years 1 months ago
Storage Optimization for Large-Scale Distributed Stream Processing Systems
We consider storage in an extremely large-scale distributed computer system designed for stream processing applications. In such systems, incoming data and intermediate results ma...
Kirsten Hildrum, Fred Douglis, Joel L. Wolf, Phili...