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» Fuzzy sets in machine learning and data mining
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PKDD
2009
Springer
174views Data Mining» more  PKDD 2009»
15 years 10 months ago
Active and Semi-supervised Data Domain Description
Data domain description techniques aim at deriving concise descriptions of objects belonging to a category of interest. For instance, the support vector domain description (SVDD) l...
Nico Görnitz, Marius Kloft, Ulf Brefeld
ICMLA
2010
15 years 2 months ago
Semi-Supervised Anomaly Detection for EEG Waveforms Using Deep Belief Nets
Abstract--Clinical electroencephalography (EEG) is routinely used to monitor brain function in critically ill patients, and specific EEG waveforms are recognized by clinicians as s...
Drausin Wulsin, Justin Blanco, Ram Mani, Brian Lit...
145
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AAAI
2006
15 years 5 months ago
On Multi-Class Cost-Sensitive Learning
Rescaling is possibly the most popular approach to cost-sensitive learning. This approach works by rescaling the classes according to their costs, and it can be realized in differ...
Zhi-Hua Zhou, Xu-Ying Liu
ICML
2006
IEEE
16 years 4 months ago
Robust probabilistic projections
Principal components and canonical correlations are at the root of many exploratory data mining techniques and provide standard pre-processing tools in machine learning. Lately, p...
Cédric Archambeau, Michel Verleysen, Nicola...
EUSFLAT
2003
107views Fuzzy Logic» more  EUSFLAT 2003»
15 years 5 months ago
Decision-theoretic approaches in fuzzy rule generation for diagnosis and fault detection problems
A typical task in technical fault detection or medical diagnosis problems is to discriminate normal behavior from one or more types of abnormal behavior by means of different meas...
Sebastian Beck, Ralf Mikut, Jens Jäkel, Georg...