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INFOCOM
2010
IEEE
13 years 7 months ago
Resource Allocation over Network Dynamics without Timescale Separation
—We consider a widely applicable model of resource allocation where two sequences of events are coupled: on a continuous time axis (t), network dynamics evolve over time. On a di...
Alexandre Proutiere, Yung Yi, Tian Lan, Mung Chian...
ICML
2009
IEEE
14 years 9 months ago
Online dictionary learning for sparse coding
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
ICML
2000
IEEE
14 years 9 months ago
Reinforcement Learning in POMDP's via Direct Gradient Ascent
This paper discusses theoretical and experimental aspects of gradient-based approaches to the direct optimization of policy performance in controlled ??? ?s. We introduce ??? ?, a...
Jonathan Baxter, Peter L. Bartlett
GLOBECOM
2008
IEEE
14 years 3 months ago
Game Theoretic Rate Adaptation for Spectrum-Overlay Cognitive Radio Networks
— We consider the issue of fair share of the spectrum opportunity for the case of spectrum-overlay cognitive radio networks. Owing to the decentralized nature of the network, we ...
Laxminarayana S. Pillutla, Vikram Krishnamurthy
ICA
2004
Springer
14 years 2 months ago
Blind Deconvolution of SISO Systems with Binary Source Based on Recursive Channel Shortening
We treat the problem of Blind Deconvolution of Single Input - Single Output (SISO) systems with real or complex binary sources. We explicate the basic mathematical idea by focusing...
Konstantinos I. Diamantaras, Theophilos Papadimitr...