Katalog der Deutschen Nationalbibliothek

Gesamter Bestand

Musikarchiv

Exilsammlungen

Buchmuseum

Suchformular zurücksetzen

Expertensuche ?

Leichte Bedienung, intuitive Suche: Die Betaversion unseres neuen Katalogs ist online! → Zur Betaversion des neuen DNB-Katalogs

Der Multimedia-Zeitschriftenlesesaal und der Kartenlesesaal in Leipzig sind vom 30.10. bis 03.11. geschlossen. // The multimedia/periodical reading room and the map reading room in Leipzig are closed from 30.10 to 03.11.

Ergebnis der Suche nach: tit all "Selection Networks"
im Bestand: Gesamter Bestand

291 - 300 von 562

	291	Variable selection and neural networks Benoudjit, Nabil. - Saarbrücken : VDM Verlag Dr. Müller, 2008
	292	Variable selection and neural networks Benoudjit, Nabil. - Saarbrücken : VDM Verlag Dr. Müller, 2008
	293	Feature selection and information fusion in hierarchical neural networks for iterative 3D-object recognition Fay, Rebecca, 2007
	294	Feature selection and information fusion in hierarchical neural networks for iterative 3D-object recognition Fay, Rebecca, 2007
	295	Migrant networks, migrant selection, and high school graduation in Mexico Bonn : IZA, 2007
	296	Principal Component Analysis‐Ranking as a Variable Selection Method for the Simulation of 13 C Nuclear Magnetic Resonance Spectra of Xanthones Using Artificial Neural Networks Enthalten in QSAR & combinatorial science Bd. 26, 2007, Nr. 7: 875-875. 1 S.
	297	Principal Component Analysis‐Ranking as a Variable Selection Method for the Simulation of 13 C Nuclear Magnetic Resonance Spectra of Xanthones Using Artificial Neural Networks Enthalten in QSAR & combinatorial science Bd. 26, 2007, Nr. 6: 764-772. 9 S.
	298	Constructing Low-Order Discriminant Neural Networks Using Statistical Feature Selection Enthalten in Journal of intelligent systems Bd. 16, 2007, Nr. 1: 27-56
	299	Project management software systems Ahlemann, Frederik. - Munich : Oxygon-Verl., [2006], 4. ed.
	300	SECM Visualization of Spatial Variability of Enzyme‐Polymer Spots. Part 2: Complex Interference Elimination by Means of Selection of Highest Sensitivity Sensor Substructures and Artificial Neural Networks Enthalten in Electroanalysis Bd. 18, 2006, Nr. 19‐20: 1916-1928. 13 S.