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110
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AUTOMATICA
2010
167views more  AUTOMATICA 2010»
14 years 11 months ago
A new kernel-based approach for linear system identification
This paper describes a new kernel-based approach for linear system identification of stable systems. We model the impulse response as the realization of a Gaussian process whose s...
Gianluigi Pillonetto, Giuseppe De Nicolao
NECO
2007
115views more  NECO 2007»
14 years 11 months ago
Training Recurrent Networks by Evolino
In recent years, gradient-based LSTM recurrent neural networks (RNNs) solved many previously RNN-unlearnable tasks. Sometimes, however, gradient information is of little use for t...
Jürgen Schmidhuber, Daan Wierstra, Matteo Gag...
INFOCOM
1999
IEEE
15 years 4 months ago
Efficient Selective Frame Discard Algorithms for Stored Video Delivery across Resource Constrained Networks
Video delivery from a server to a client across a network is an important component of many multimedia applications. While delivering a video stream across a resource constrained ...
Zhi-Li Zhang, Srihari Nelakuditi, Rahul Aggarwal, ...
93
Voted
CORR
2010
Springer
143views Education» more  CORR 2010»
14 years 11 months ago
Opportunistic Routing in Ad Hoc Networks: How many relays should there be? What rate should nodes use?
Opportunistic routing is a multi-hop routing scheme which allows for selection of the best immediately available relay. In blind opportunistic routing protocols, where transmitters...
Joseph Blomer, Nihar Jindal
CORR
2008
Springer
104views Education» more  CORR 2008»
14 years 11 months ago
A Variational Inference Framework for Soft-In-Soft-Out Detection in Multiple Access Channels
We propose a unified framework for deriving and studying soft-in soft-out (SISO) detection in multiple-access channels using the concept of variational inference. The proposed fram...
Darryl Dexu Lin, Teng Joon Lim