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» Feature Construction for Back-Propagation
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FM
2005
Springer
132views Formal Methods» more  FM 2005»
15 years 3 months ago
Decoupling in Object Orientation
In formal design, decoupling means to make the features of a formal system as independent as possible from each other. Decoupling tends to make the features semantically more primi...
Ioannis T. Kassios
ML
2002
ACM
123views Machine Learning» more  ML 2002»
14 years 9 months ago
Feature Generation Using General Constructor Functions
Most classification algorithms receive as input a set of attributes of the classified objects. In many cases, however, the supplied set of attributes is not sufficient for creatin...
Shaul Markovitch, Dan Rosenstein
SAC
2006
ACM
15 years 3 months ago
The impact of sample reduction on PCA-based feature extraction for supervised learning
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
KDD
2005
ACM
193views Data Mining» more  KDD 2005»
15 years 10 months ago
An approach to spacecraft anomaly detection problem using kernel feature space
Development of advanced anomaly detection and failure diagnosis technologies for spacecraft is a quite significant issue in the space industry, because the space environment is ha...
Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida
TNN
2011
129views more  TNN 2011»
14 years 4 months ago
Minimum Complexity Echo State Network
—Reservoir computing (RC) refers to a new class of state-space models with a fixed state transition structure (the “reservoir”) and an adaptable readout form the state space...
Ali Rodan, Peter Tino