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» Models of active learning in group-structured state spaces
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JMLR
2012
13 years 2 days ago
Universal Measurement Bounds for Structured Sparse Signal Recovery
Standard compressive sensing results state that to exactly recover an s sparse signal in Rp , one requires O(s · log p) measurements. While this bound is extremely useful in prac...
Nikhil S. Rao, Ben Recht, Robert D. Nowak
AAAI
2010
14 years 11 months ago
Collaborative Expert Portfolio Management
We consider the task of assigning experts from a portfolio of specialists in order to solve a set of tasks. We apply a Bayesian model which combines collaborative filtering with a...
David H. Stern, Horst Samulowitz, Ralf Herbrich, T...
JCNS
2000
165views more  JCNS 2000»
14 years 9 months ago
A Population Density Approach That Facilitates Large-Scale Modeling of Neural Networks: Analysis and an Application to Orientati
We explore a computationally efficient method of simulating realistic networks of neurons introduced by Knight, Manin, and Sirovich (1996) in which integrate-and-fire neurons are ...
Duane Q. Nykamp, Daniel Tranchina
COMCOM
2006
121views more  COMCOM 2006»
14 years 9 months ago
Interactive Transparent Networking: Protocol meta modeling based on EFSM
the extensibility and evolution of network services and protocols had become a major research issue in recent years. The 'programmable' and 'active' network par...
Javed I. Khan, Raid Zaghal
ENTCS
2007
158views more  ENTCS 2007»
14 years 9 months ago
Abstraction and Completeness for Real-Time Maude
ion and Completeness for Real-Time Maude Peter Csaba ¨Olveczky a,b and Jos´e Meseguer b a Department of Informatics, University of Oslo b Department of Computer Science, Universi...
Peter Csaba Ölveczky, José Meseguer