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NN
2010
Springer
183views Neural Networks» more  NN 2010»
13 years 5 months ago
Dimensionality reduction for density ratio estimation in high-dimensional spaces
The ratio of two probability density functions is becoming a quantity of interest these days in the machine learning and data mining communities since it can be used for various d...
Masashi Sugiyama, Motoaki Kawanabe, Pui Ling Chui
ICIP
2005
IEEE
14 years 9 months ago
Trainable post-processing method to reduce false alarms in the detection of small blotches of archive films
We have developed a new semi-automatic neural network based method to detect blotches with low false alarm rate on archive films. Blotches can be modeled as temporal intensity disc...
Attila Licsár, László Cz&uacu...
EOR
2008
111views more  EOR 2008»
13 years 7 months ago
Machine-part cell formation in group technology using a modified ART1 method
Group Technology (GT) is a useful way of increasing the productivity for manufacturing high quality products and improving the flexibility of manufacturing systems. Cell formation...
Miin-Shen Yang, Jenn-Hwai Yang
GLOBECOM
2008
IEEE
14 years 1 months ago
Impact of Crosstalk Estimation on the Dynamic Spectrum Management Performance
Abstract—The development and assessment of spectrum management methods for the copper access network are usually conducted under the assumption of accurate channel information. A...
Neiva Lindqvist, Fredrik Lindqvist, Boris Dortschy...
BMCBI
2011
13 years 2 months ago
Statistical learning techniques applied to epidemiology: a simulated case-control comparison study with logistic regression
Background: When investigating covariate interactions and group associations with standard regression analyses, the relationship between the response variable and exposure may be ...
John J. Heine, Walker H. Land Jr., Kathleen M. Ega...