Sciweavers

1297 search results - page 14 / 260
» Refractor Importance Sampling
Sort
View
ICASSP
2008
IEEE
14 years 1 months ago
A new Particle Filtering algorithm with structurally optimal importance function
Bayesian estimation in nonlinear stochastic dynamical systems has been addressed for a long time. Among other solutions, Particle Filtering (PF) algorithms propagate in time a Mon...
Boujemaa Ait-El-Fquih, François Desbouvries
ICDM
2005
IEEE
138views Data Mining» more  ICDM 2005»
14 years 1 months ago
Labeling Unclustered Categorical Data into Clusters Based on the Important Attribute Values
Sampling has been recognized as an important technique to improve the efficiency of clustering. However, with sampling applied, those points which are not sampled will not have t...
Hung-Leng Chen, Kun-Ta Chuang, Ming-Syan Chen
ICML
2009
IEEE
14 years 8 months ago
Importance weighted active learning
We propose an importance weighting framework for actively labeling samples. This technique yields practical yet sound active learning algorithms for general loss functions. Experi...
Alina Beygelzimer, Sanjoy Dasgupta, John Langford
DLOG
2007
13 years 9 months ago
On Importing Knowledge from DL Ontologies: Some Intuitions and Problems
Abstract. This paper argues for the benefits of distinguishing the notions of “ontology module” and “importing terms from an ontology”, by sampling some papers on these to...
Alexander Borgida
BMCBI
2008
132views more  BMCBI 2008»
13 years 7 months ago
Very Important Pool (VIP) genes - an application for microarray-based molecular signatures
Background: Advances in DNA microarray technology portend that molecular signatures from which microarray will eventually be used in clinical environments and personalized medicin...
Zhenqiang Su, Huixiao Hong, Hong Fang, Leming M. S...