Sciweavers

35 search results - page 3 / 7
» Sequential variable sampling plan for normal distribution
Sort
View
WSC
1998
14 years 6 days ago
Sequential Allocations that Reduce Risk for Multiple Comparisons
We consider how to efficiently allocate computing resources in order to infer the best of a finite set of simulated systems, where best means that the system has the maximal expec...
Stephen E. Chick, Koichiro Inoue
JMLR
2006
118views more  JMLR 2006»
13 years 10 months ago
Learning Factor Graphs in Polynomial Time and Sample Complexity
We study the computational and sample complexity of parameter and structure learning in graphical models. Our main result shows that the class of factor graphs with bounded degree...
Pieter Abbeel, Daphne Koller, Andrew Y. Ng
ICB
2009
Springer
140views Biometrics» more  ICB 2009»
14 years 5 months ago
A Discriminant Analysis Method for Face Recognition in Heteroscedastic Distributions
Linear discriminant analysis (LDA) is a popular method in pattern recognition and is equivalent to Bayesian method when the sample distributions of different classes are obey to t...
Zhen Lei, ShengCai Liao, Dong Yi, Rui Qin, Stan Z....
BMCBI
2004
134views more  BMCBI 2004»
13 years 10 months ago
Bayesian model accounting for within-class biological variability in Serial Analysis of Gene Expression (SAGE)
Background: An important challenge for transcript counting methods such as Serial Analysis of Gene Expression (SAGE), "Digital Northern" or Massively Parallel Signature ...
Ricardo Z. N. Vêncio, Helena Brentani, Diogo...
INFOCOM
2008
IEEE
14 years 5 months ago
Robust Distributed Spectrum Sensing in Cognitive Radio Networks
Abstract—Distributed spectrum sensing (DSS) enables a Cognitive Radio (CR) network to reliably detect licensed users and avoid causing interference to licensed communications. Th...
Ruiliang Chen, Jung Min Park, Kaigui Bian