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IJCNN
2000
IEEE
15 years 8 months ago
Metrics that Learn Relevance
We introduce an algorithm for learning a local metric to a continuous input space that measures distances in terms of relevance to the processing task. The relevance is defined a...
Samuel Kaski, Janne Sinkkonen
ICC
2007
IEEE
146views Communications» more  ICC 2007»
15 years 7 months ago
BER of MIMO-OFDM Systems with Carrier Frequency Offset and Channel Estimation Errors
Abstract-- Performance analysis of Multiple-input Multipleoutput (MIMO) Orthogonal Frequency-Division Multiplexing (OFDM) systems with carrier frequency offset and channel estimati...
Zhongshan Zhang, Wei Zhang, Chintha Tellambura
GECCO
2006
Springer
168views Optimization» more  GECCO 2006»
15 years 7 months ago
A Bayesian approach to learning classifier systems in uncertain environments
In this paper we propose a Bayesian framework for XCS [9], called BXCS. Following [4], we use probability distributions to represent the uncertainty over the classifier estimates ...
Davide Aliprandi, Alex Mancastroppa, Matteo Matteu...
COCOON
2008
Springer
15 years 5 months ago
The Computational Complexity of Link Building
We study the problem of adding k new links to a directed graph G(V, E) in order to maximize the minimum PageRank value for a given subset of the nodes. We show that this problem is...
Martin Olsen
COCOON
2008
Springer
15 years 5 months ago
Spectrum Bidding in Wireless Networks and Related
In this paper, we study the spectrum assignment problem for wireless access networks. Opportunistic spectrum usage is a promising technology. However, it could suffer from the self...
Xiang-Yang Li, Ping Xu, ShaoJie Tang, Xiaowen Chu