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JMLR
2008
209views more  JMLR 2008»
15 years 7 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger
EJIS
2007
150views more  EJIS 2007»
15 years 7 months ago
e-Government information systems: Evaluation-led design for public value and client trust
e-Government systems differ from commercial information systems (IS) in that they frequently encompass strategic goals that go beyond efficiency, effectiveness and economy, and in...
Michael Grimsley, Anthony Meehan
SIMPRA
2008
94views more  SIMPRA 2008»
15 years 7 months ago
A simulation based experimental design to analyze factors affecting production flow time
In this paper we analyze and evaluate the effects of some pre-defined process parameters on the performance of a manufacturing system. These parameters include two different plant...
Banu Y. Ekren, Arslan M. Ornek
TMI
2008
85views more  TMI 2008»
15 years 7 months ago
Sparsity-Enforced Slice-Selective MRI RF Excitation Pulse Design
We introduce a novel algorithm for the design of fast slice-selective spatially-tailored magnetic resonance imaging (MRI) excitation pulses. This method, based on sparse approximat...
Adam C. Zelinski, Lawrence L. Wald, K. Setsompop, ...
COMCOM
2004
102views more  COMCOM 2004»
15 years 7 months ago
The distinctive design characteristic of a wireless sensor network: the energy map
The key challenge in the design of a wireless sensor network is maximizing its lifetime. This is a fundamental problem and new protocol engineering principles need to be establish...
Raquel A. F. Mini, Antonio Alfredo Ferreira Lourei...