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» Models of active learning in group-structured state spaces
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JMLR
2012
13 years 6 months 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
15 years 5 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»
15 years 4 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»
15 years 4 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»
15 years 4 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