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ML
2002
ACM
129views Machine Learning» more  ML 2002»
13 years 7 months ago
Model Selection for Small Sample Regression
Model selection is an important ingredient of many machine learning algorithms, in particular when the sample size in small, in order to strike the right trade-off between overfitt...
Olivier Chapelle, Vladimir Vapnik, Yoshua Bengio
ICML
2003
IEEE
14 years 8 months ago
Semi-Supervised Learning of Mixture Models
This paper analyzes the performance of semisupervised learning of mixture models. We show that unlabeled data can lead to an increase in classification error even in situations wh...
Fabio Gagliardi Cozman, Ira Cohen, Marcelo Cesar C...
DSD
2008
IEEE
127views Hardware» more  DSD 2008»
14 years 2 months ago
Measurement, Analysis and Modeling of RTOS System Calls Timing
This paper presents a methodology for accurately characterizing the system calls of an operating system for embedded applications. Characterization consists of two phases: measure...
Carlo Brandolese, William Fornaciari
VTC
2008
IEEE
107views Communications» more  VTC 2008»
14 years 2 months ago
On the Performance of Selection Relaying
—Interest in selection relaying is growing. The recent developments in this area have largely focused on information theoretic analyses such as outage performance. Some of these ...
Abdulkareem Adinoyi, Yijia Fan, Halim Yanikomerogl...
SIGMETRICS
2010
ACM
214views Hardware» more  SIGMETRICS 2010»
14 years 13 days ago
Distributed sensor network localization from local connectivity: performance analysis for the HOP-TERRAIN algorithm
This paper addresses the problem of determining the node locations in ad-hoc sensor networks when only connectivity information is available. In previous work, we showed that the ...
Amin Karbasi, Sewoong Oh