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» Multiclass relevance vector machines: sparsity and accuracy
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BMCBI
2006
126views more  BMCBI 2006»
13 years 7 months ago
A Regression-based K nearest neighbor algorithm for gene function prediction from heterogeneous data
Background: As a variety of functional genomic and proteomic techniques become available, there is an increasing need for functional analysis methodologies that integrate heteroge...
Zizhen Yao, Walter L. Ruzzo
RECOMB
2005
Springer
14 years 7 months ago
Learning Interpretable SVMs for Biological Sequence Classification
Background: Support Vector Machines (SVMs) ? using a variety of string kernels ? have been successfully applied to biological sequence classification problems. While SVMs achieve ...
Christin Schäfer, Gunnar Rätsch, Sö...
IJCNN
2006
IEEE
14 years 1 months ago
Sparse Bayesian Models: Bankruptcy-Predictors of Choice?
Abstract— Making inferences and choosing appropriate responses based on incomplete, uncertainty and noisy data is challenging in financial settings particularly in bankruptcy de...
Bernardete Ribeiro, Armando Vieira, João Ca...
BMCBI
2004
133views more  BMCBI 2004»
13 years 7 months ago
Esub8: A novel tool to predict protein subcellular localizations in eukaryotic organisms
Background: Subcellular localization of a new protein sequence is very important and fruitful for understanding its function. As the number of new genomes has dramatically increas...
Qinghua Cui, Tianzi Jiang, Bing Liu, Songde Ma
ETRA
2010
ACM
197views Biometrics» more  ETRA 2010»
14 years 2 months ago
Image ranking with implicit feedback from eye movements
In order to help users navigate an image search system, one could provide explicit information on a small set of images as to which of them are relevant or not to their task. Thes...
David R. Hardoon, Kitsuchart Pasupa