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CVPR
2010
IEEE
15 years 10 months ago
Bayes Optimal Kernel Discriminant Analysis
Kernel methods provide an efficient mechanism to derive nonlinear algorithms. In classification problems as well as in feature extraction, kernel-based approaches map the original...
Di You, Aleix Martinez
ASPLOS
2008
ACM
15 years 8 months ago
SoftSig: software-exposed hardware signatures for code analysis and optimization
Many code analysis techniques for optimization, debugging, or parallelization need to perform runtime disambiguation of sets of addresses. Such operations can be supported efficie...
James Tuck, Wonsun Ahn, Luis Ceze, Josep Torrellas
DNA
2006
Springer
130views Bioinformatics» more  DNA 2006»
15 years 8 months ago
Displacement Whiplash PCR: Optimized Architecture and Experimental Validation
Whiplash PCR-based methods of biomolecular computation (BMC), while highly-versatile in principle, are well-known to suffer from a simple but serious form of self-poisoning known a...
John A. Rose, Ken Komiya, Satsuki Yaegashi, Masami...
UAI
2004
15 years 7 months ago
Dependent Dirichlet Priors and Optimal Linear Estimators for Belief Net Parameters
A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...
Peter Hooper
WSC
2004
15 years 7 months ago
Optimal Computing Budget Allocation for Multi-Objective Simulation Models
Simulation plays a vital role in identifying the best system design from among a set of competing designs. To improve simulation efficiency, ranking and selection techniques are o...
Loo Hay Lee, Ek Peng Chew, Suyan Teng, David Golds...