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» Using Gaussian Processes to Optimize Expensive Functions
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PAMI
1998
107views more  PAMI 1998»
15 years 29 days ago
Graph Matching With a Dual-Step EM Algorithm
—This paper describes a new approach to matching geometric structure in 2D point-sets. The novel feature is to unify the tasks of estimating transformation geometry and identifyi...
Andrew D. J. Cross, Edwin R. Hancock
KDD
2004
ACM
237views Data Mining» more  KDD 2004»
16 years 1 months ago
Bayesian Model-Averaging in Unsupervised Learning From Microarray Data
Unsupervised identification of patterns in microarray data has been a productive approach to uncovering relationships between genes and the biological process in which they are in...
Mario Medvedovic, Junhai Guo
IAT
2005
IEEE
15 years 7 months ago
Decomposing Large-Scale POMDP Via Belief State Analysis
Partially observable Markov decision process (POMDP) is commonly used to model a stochastic environment with unobservable states for supporting optimal decision making. Computing ...
Xin Li, William K. Cheung, Jiming Liu
CCE
2006
15 years 1 months ago
An efficient algorithm for large scale stochastic nonlinear programming problems
The class of stochastic nonlinear programming (SNLP) problems is important in optimization due to the presence of nonlinearity and uncertainty in many applications, including thos...
Y. Shastri, Urmila M. Diwekar
IPL
2008
80views more  IPL 2008»
15 years 1 months ago
A simpler competitive analysis for scheduling equal-length jobs on one machine with restarts
We consider the online problem of scheduling jobs with equal processing times on a single machine. Each job has a release time and a deadline, and the goal is to maximize the numb...
Michael H. Goldwasser, Arundhati Bagchi Misra