Sciweavers

1496 search results - page 45 / 300
» Selection in the Presence of Noise
Sort
View
PAKDD
2009
ACM
87views Data Mining» more  PAKDD 2009»
15 years 4 months ago
Application-Independent Feature Construction from Noisy Samples
When training classifiers, presence of noise can severely harm their performance. In this paper, we focus on “non-class” attribute noise and we consider how a frequent fault-t...
Dominique Gay, Nazha Selmaoui, Jean-Françoi...
JSAC
2006
108views more  JSAC 2006»
14 years 9 months ago
A simple baseband transmission scheme for power line channels
We propose a simple pulse-amplitude modulation (PAM)-based coded modulation scheme that overcomes two major constraints of power line channels, viz., severe insertion-loss and impu...
Raju Hormis, Inaki Berenguer, Xiaodong Wang
CCECE
2006
IEEE
15 years 1 months ago
Modelling and Emulation of Multifractal Noise in Performance Evaluation of Mesh Networks
This paper describes a model and a setup for emulating fractal and multifractal noise for the measurement and evaluation of performance of ZigBee mesh networks intended for harsh ...
Lily Woo, Witold Kinsner, Ken Ferens, J. Diamond
IJCAI
1989
14 years 11 months ago
Noise-Tolerant Instance-Based Learning Algorithms
Several published reports show that instancebased learning algorithms yield high classification accuracies and have low storage requirements during supervised learning application...
David W. Aha, Dennis F. Kibler
FOCS
2006
IEEE
15 years 3 months ago
Hardness of Learning Halfspaces with Noise
Learning an unknown halfspace (also called a perceptron) from labeled examples is one of the classic problems in machine learning. In the noise-free case, when a halfspace consist...
Venkatesan Guruswami, Prasad Raghavendra