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BMCBI
2011
13 years 6 days ago
Biomarker Discovery and Redundancy Reduction towards Classification using a Multi-factorial MALDI-TOF MS T2DM Mouse Model Datase
Background: Diabetes like many diseases and biological processes is not mono-causal. On the one hand multifactorial studies with complex experimental design are required for its c...
Chris Bauer, Frank Kleinjung, Celia J. Smith, Mark...
CEAS
2007
Springer
14 years 18 days ago
Online Active Learning Methods for Fast Label-Efficient Spam Filtering
Active learning methods seek to reduce the number of labeled examples needed to train an effective classifier, and have natural appeal in spam filtering applications where trustwo...
D. Sculley
AAAI
2010
13 years 10 months ago
Conformal Mapping by Computationally Efficient Methods
Dimensionality reduction is the process by which a set of data points in a higher dimensional space are mapped to a lower dimension while maintaining certain properties of these p...
Stefan Pintilie, Ali Ghodsi
FUIN
2010
114views more  FUIN 2010»
13 years 3 months ago
Feature Selection via Maximizing Fuzzy Dependency
Feature selection is an important preprocessing step in pattern analysis and machine learning. The key issue in feature selection is to evaluate quality of candidate features. In t...
Qinghua Hu, Pengfei Zhu, Jinfu Liu, Yongbin Yang, ...
CHI
2005
ACM
14 years 9 months ago
Gait phase effects in mobile interaction
One problem evaluating mobile and wearable devices is that they are used in mobile settings, making it hard to collect usability data. We present a study of tap-based selection of...
Andrew Crossan, Roderick Murray-Smith, Stephen A. ...