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» Approximation algorithms for stochastic orienteering
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131
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INFOCOM
2010
IEEE
15 years 2 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
16 years 5 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...
127
Voted
ICML
2000
IEEE
16 years 5 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
15 years 10 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
15 years 9 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...