Sciweavers

1297 search results - page 10 / 260
» Hyperdynamics Importance Sampling
Sort
View
TIT
1998
70views more  TIT 1998»
13 years 7 months ago
The Importance of Convexity in Learning with Squared Loss
We show that if the closureof a function class F under the metric induced by some probability distribution is not convex, then the sample complexity for agnostically learning F wi...
Wee Sun Lee, Peter L. Bartlett, Robert C. Williams...
EMMCVPR
2011
Springer
12 years 7 months ago
Data-Driven Importance Distributions for Articulated Tracking
Abstract. We present two data-driven importance distributions for particle filterbased articulated tracking; one based on background subtraction, another on depth information. In ...
Søren Hauberg, Kim Steenstrup Pedersen
SAC
2010
ACM
13 years 5 months ago
Importance tempering
Simulated tempering (ST) is an established Markov Chain Monte Carlo (MCMC) methodology for sampling from a multimodal density π(θ). The technique involves introducing an auxilia...
Robert B. Gramacy, Richard Samworth, Ruth King
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...