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GCB
2010
Springer
204views Biometrics» more  GCB 2010»
15 years 4 months ago
Learning Pathway-based Decision Rules to Classify Microarray Cancer Samples
: Despite recent advances in DNA chip technology current microarray gene expression studies are still affected by high noise levels, small sample sizes and large numbers of uninfor...
Enrico Glaab, Jonathan M. Garibaldi, Natalio Krasn...
SIAMCO
2011
15 years 1 months ago
Consistency of Sequential Bayesian Sampling Policies
We consider Bayesian information collection, in which a measurement policy collects information to support a future decision. This framework includes ranking and selection, continu...
Peter Frazier, Warren B. Powell
JMLR
2010
137views more  JMLR 2010»
15 years 28 days ago
Importance Sampling for Continuous Time Bayesian Networks
A continuous time Bayesian network (CTBN) uses a structured representation to describe a dynamic system with a finite number of states which evolves in continuous time. Exact infe...
Yu Fan, Jing Xu, Christian R. Shelton
TSP
2010
15 years 25 days ago
Adaptive sampling rate correction for acoustic echo control in voice-over-IP
Abstract--Hands-free terminals for speech communication employ adaptive filters to reduce echoes resulting from the acoustic coupling between loudspeaker and microphone. When using...
Matthias Pawig, Gerald Enzner, Peter Vary
181
Voted
CISS
2010
IEEE
14 years 9 months ago
Compressive sampling for streaming signals with sparse frequency content
Abstract—Compressive sampling (CS) has emerged as significant signal processing framework to acquire and reconstruct sparse signals at rates significantly below the Nyquist rate...
Petros Boufounos, M. Salman Asif