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JMLR
2012
13 years 9 months ago
Krylov Subspace Descent for Deep Learning
In this paper, we propose a second order optimization method to learn models where both the dimensionality of the parameter space and the number of training samples is high. In ou...
Oriol Vinyals, Daniel Povey
IWANN
2009
Springer
16 years 1 months ago
Introducing a Distributed Architecture for Heterogeneous Wireless Sensor Networks
This paper presents SYLPH, a novel distributed architecture which integrates a service-oriented approach into Wireless Sensor Networks. One of the characteristics of SYLPH is that ...
Dante I. Tapia, Ricardo S. Alonso, Juan Francisco ...
WOWMOM
2009
ACM
167views Multimedia» more  WOWMOM 2009»
16 years 1 months ago
Bio-inspired link quality estimation for wireless mesh networks
—In this paper, the problem of estimating the link quality in mesh networks has been considered. Such a process is a major task to develop an efficient network layer, since it a...
Marcello Caleffi, Luigi Paura
KES
2005
Springer
16 years 6 days ago
On Self-organising Diagnostics in Impact Sensing Networks
Abstract. Structural health management (SHM) of safety-critical structures requires multiple capabilities: sensing, assessment, diagnostics, prognostics, repair, etc. This paper pr...
Mikhail Prokopenko, Peter Wang, Andrew Scott, Vadi...
KES
2006
Springer
15 years 6 months ago
Stock Index Modeling Using Hierarchical Radial Basis Function Networks
Forecasting exchange rates is an important financial problem that is receiving increasing attention especially because of its difficulty and practical applications. This paper prop...
Yuehui Chen, Lizhi Peng, Ajith Abraham