Sciweavers

1416 search results - page 129 / 284
» The Kernel Least-Mean-Square Algorithm
Sort
View
ENC
2006
IEEE
16 years 9 days ago
Cleaning Training-Datasets with Noise-Aware Algorithms
We introduce a novel learning algorithm for noise elimination. Our algorithm is based on the re-measurement idea for the correction of erroneous observations and is able to discri...
H. Jair Escalante
AAECC
2001
Springer
121views Algorithms» more  AAECC 2001»
15 years 10 months ago
Algorithms for Large Integer Matrix Problems
Abstract. New algorithms are described and analysed for solving various problems associated with a large integer matrix: computing the Hermite form, computing a kernel basis, and s...
Mark Giesbrecht, Michael J. Jacobson Jr., Arne Sto...
FLAIRS
2006
15 years 7 months ago
Analysis of Galactic Spectra using Noise-Aware Learning Algorithms
We introduce a novel learning algorithm for noise elimination. Our algorithm is based on the re-measurement idea for the correction of erroneous observations and is able to discri...
H. Jair Escalante, Olac Fuentes
GCB
2006
Springer
140views Biometrics» more  GCB 2006»
15 years 10 months ago
PALMA: Perfect Alignments using Large Margin Algorithms
: Despite many years of research on how to properly align sequences in the presence of sequencing errors, alternative splicing and micro-exons, the correct alignment of mRNA sequen...
Gunnar Rätsch, Bettina Hepp, Uta Schulze, Che...
KDD
2007
ACM
276views Data Mining» more  KDD 2007»
16 years 6 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