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» Learning with non-positive kernels
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ICML
2004
IEEE
14 years 9 months ago
Improving SVM accuracy by training on auxiliary data sources
The standard model of supervised learning assumes that training and test data are drawn from the same underlying distribution. This paper explores an application in which a second...
Pengcheng Wu, Thomas G. Dietterich
EDBT
2009
ACM
277views Database» more  EDBT 2009»
14 years 1 months ago
G-hash: towards fast kernel-based similarity search in large graph databases
Structured data including sets, sequences, trees and graphs, pose significant challenges to fundamental aspects of data management such as efficient storage, indexing, and simila...
Xiaohong Wang, Aaron M. Smalter, Jun Huan, Gerald ...
BMCBI
2008
143views more  BMCBI 2008»
13 years 8 months ago
Automatic detection of exonic splicing enhancers (ESEs) using SVMs
Background: Exonic splicing enhancers (ESEs) activate nearby splice sites and promote the inclusion (vs. exclusion) of exons in which they reside, while being a binding site for S...
Britta Mersch, Alexander Gepperth, Sándor S...
ENC
2006
IEEE
14 years 2 months 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
ICALT
2006
IEEE
14 years 2 months ago
Elkar-CM: a Multilingual Collaborative Concept Map Editor
Along this paper Elkar-CM, a multilingual collaborative concept map editor is presented. The paper starts explaining the main characteristics of CM-ED, the kernel in which Elkar-C...
Cristóbal Arellano, Urko Rueda, Ianire Nieb...