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» Evaluating Adaptive Problem Selection
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156
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TSP
2011
152views more  TSP 2011»
14 years 10 months ago
Blind Adaptive Constrained Constant-Modulus Reduced-Rank Interference Suppression Algorithms Based on Interpolation and Switched
—This work proposes a blind adaptive reduced-rank scheme and constrained constant-modulus (CCM) adaptive algorithms for interference suppression in wireless communications system...
Rodrigo C. de Lamare, Raimundo Sampaio Neto, Marti...
174
Voted
BMCBI
2010
224views more  BMCBI 2010»
15 years 3 months ago
An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
Susmita Datta, Vasyl Pihur, Somnath Datta
127
Voted
IDA
2003
Springer
15 years 9 months ago
Regularization Methods for Additive Models
This paper tackles the problem of model complexity in the context of additive models. Several methods have been proposed to estimate smoothing parameters, as well as to perform var...
Marta Avalos, Yves Grandvalet, Christophe Ambroise
KDD
2007
ACM
276views Data Mining» more  KDD 2007»
16 years 4 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
124
Voted
TWC
2010
14 years 10 months ago
Dual-hop adaptive packet transmission systems with regenerative relaying
We propose and analyze two different approaches for performing adaptive modulation and coding (AMC) in dualhop transmission systems, where a source node S communicates with a certa...
Andreas Müller 0001, Hong-Chuan Yang