- Sprache
-
Deutsch
- Umfang
-
Online-Ressource
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Erschienen in
-
Oberwolfach Preprints ; 2011-30
- Klassifikation
-
Mathematik
- Beteiligte Personen und Organisationen
-
Király, Franz J.
Bünau, Paul von
Meinecke, Frank C.
Blythe, Duncan A. J.
Müller, Klaus-Robert
Mathematisches Forschungsinstitut Oberwolfach
- Ereignis
-
Veröffentlichung
- (wo)
-
Oberwolfach-Walke
- (wer)
-
Mathematisches Forschungsinstitut Oberwolfach gGmbH
- (wann)
-
2011
- URN
-
urn:nbn:de:101:1-201111161309
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:50 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Király, Franz J.
- Bünau, Paul von
- Meinecke, Frank C.
- Blythe, Duncan A. J.
- Müller, Klaus-Robert
- Mathematisches Forschungsinstitut Oberwolfach
- Mathematisches Forschungsinstitut Oberwolfach gGmbH
Entstanden
- 2011
Ähnliche Objekte (12)
Spärlich verbundene neuronale Netze und ihre Anwendung
Probabilistic Methods for Network Security. From Analysis to Response
Novel machine learning methods for computational chemistry
Optimizing Spatial Filters to reduce BCI Inefficiency
Advances in Neurotechnology for Brain Computer Interfaces
Towards EEG source connectivity analysis
Stationary Subspace Analysis: Towards understanding non-stationary data
Massive parallelization of combinatorial statistical genetics analyses porting machine learning methods on general purpose graphics processing units (GPU)
Bag of Machine Learning Concepts for Visual Concept Recognition in Images
Identifying Interactions from Superimposed Signals
Evaluation and Optimization of Recent Analytical Approaches for In-Vivo Measurements with Near-Infrared Spectroscopy
lp-Norm Multiple Kernel Learning
Spärlich verbundene neuronale Netze und ihre Anwendung
Probabilistic Methods for Network Security. From Analysis to Response
Novel machine learning methods for computational chemistry
Optimizing Spatial Filters to reduce BCI Inefficiency
Advances in Neurotechnology for Brain Computer Interfaces
Towards EEG source connectivity analysis
Stationary Subspace Analysis: Towards understanding non-stationary data
Massive parallelization of combinatorial statistical genetics analyses porting machine learning methods on general purpose graphics processing units (GPU)
Bag of Machine Learning Concepts for Visual Concept Recognition in Images
Identifying Interactions from Superimposed Signals
Evaluation and Optimization of Recent Analytical Approaches for In-Vivo Measurements with Near-Infrared Spectroscopy
lp-Norm Multiple Kernel Learning
Spärlich verbundene neuronale Netze und ihre Anwendung
Probabilistic Methods for Network Security. From Analysis to Response
Novel machine learning methods for computational chemistry
Optimizing Spatial Filters to reduce BCI Inefficiency
Advances in Neurotechnology for Brain Computer Interfaces
Towards EEG source connectivity analysis
Stationary Subspace Analysis: Towards understanding non-stationary data
Massive parallelization of combinatorial statistical genetics analyses porting machine learning methods on general purpose graphics processing units (GPU)
Bag of Machine Learning Concepts for Visual Concept Recognition in Images
Identifying Interactions from Superimposed Signals
Evaluation and Optimization of Recent Analytical Approaches for In-Vivo Measurements with Near-Infrared Spectroscopy