53 Infos zu Alexandra Scherbart

1 Aktuelle Nachrichten

7 Profile in Sozialen Netzwerken

Playground for our additions to the official http://open-ms.svn.sourceforge.net/viewvc/open-ms/ SVN repository - OpenMS/CHANGELOG at master · sneumann/OpenMS

Semantic Scholar profile for Alexandra Scherbart, with fewer than 50 highly influential citations.

Contribute to lispc/acc_taste development by creating an account on GitHub.

A historic repository containing all old SVN branches at the time of the SVN to git migration. Please refer to OpenMS / OpenMS for the current version

2 Projekte

An open source framework for LC-MS based proteomics and metabolomics. OpenMS offers data structures and algorithms for the processing of mass…

... Scherbakova Nick Scherbalov Alexandra Scherbart Kristina Scherbaum Werner A. Scherbaum Dzulkifli S. Scherber Peter Scherber Stefan Scherber Hansjörg ...

5 Bücher zum Namen

Filters: Author is Alexandra Scherbart [Clear All Filters] A B C D E F G H I J K L M N O P Q R S T U V W X Y Z . S.

The two volume set LNCS and LNCS constitutes the thoroughly refereed post-conference proceedings of the 15th International Conference on Neural...

This book is the second of a two-volume set that constitutes the refereed proceedings of the 17th International Conference on Artificial Neural Networks, ICANN...

239 Using Multi-SOMs and Multi-Neural-Gas as Neural Classifiers Nils Goerke, Alexandra Scherbart Derivative Free Stochastic Discrete ...

2 Dokumente

Feature Weighting Alexandra Scherbart, Wiebke Timm, Sebastian B¨ocker, and. Tim W. Nattkemper An Improved Genetic Algorithm for DNA Motif Discovery ...

Download Neuronale Netze. David Kriesel dkriesel.com. Ein kleiner Überblick über. Downloadadresse:...

15 Wissenschaftliche Publikationen

Wiebke Timm 4, 1 *, Alexandra Scherbart 1, Sebastian Böcker 2, Oliver Kohlbacher 3 and Tim W Nattkemper 1 *

List of computer science publications by Alexandra Scherbart

Bibliographic content of Industrial Conference on Data Mining 2006

Alexandra Scherbart, Wiebke Timm, Sebastian Böcker, Tim W. Nattkemper: Improved Mass Spectrometry Peak Intensity Prediction by Adaptive Feature Weighting

7 Allgemeine Veröffentlichungen

Publications Authored by Alexandra Scherbart

Alexandra Scherbart; Wiebke Timm; Sebastian Böcker; Tim W. Nattkemper. Alexandra Scherbart. 1. Wiebke Timm. 1; 2. Sebastian Böcker. 3. Tim W. Nattkemper.

Alexandra Scherbart. This author has not been identified. Look up 'Alexandra Scherbart' in Google · Sebastian Böcker. This author has not been identified.

Abstract: In this work we present machine learning techniques for peak intensity prediction for MALDI mass spectra. Features encoding ...

1 Meinungen & Artikel

France Using Multi-SOMs and Multi-Neural-Gas as Neural Classifiers. Nils Goerke and Alexandra Scherbart, University of Bonn, GERMANY Derivative free Stochastic Discrete Gradient method with Adaptive mutation.

14 Webfunde aus dem Netz

N.Y.U.S.T. I. M. Intelligent Database Systems Lab 3 Motivation Dilemma of ensemble learning methods  Balance the diversity against single learner accuracy...

"Alexandra Scherbart" ... Alexandra Scherbart · Bielefeld University, Fetch | Report | Google · Looking inside self-organizing map ensembles with ...

Search results for: Alexandra Scherbart ... Alexandra Scherbart, Tim W. Nattkemper · Lecture Notes in Computer Science > Advances in Neuro-Information ...

The two volume set LNCS and LNCS constitutes the thoroughly refereed post-conference proceedings of the 15th International Conference on

Lecture Notes in Artificial Intelligence Edited by J. G. Carbonell and J. SiekmannSubseries of Lecture Notes in Comput...

Wiebke Timm, Alexandra Scherbart, Sebastian Böcker, Oliver Kohlbacher, Tim W. Nattkemper: Peak intensity prediction in MALDI-TOF mass spectrometry: A ...

Aus dem eBook: Artificial Neural Networks – ICANN von Alexandra Scherbart, Wiebke Timm, Sebastian Böcker, Tim W. Nattkemper: In todays ...

Alexandra Scherbart. Publisher/Institution: Bielefeld University. Abstract: Classification: DDC: Informatik (004); DINI: doc-type:doctoralThesis. Date: Dec 31,

... predictive power over single base learners. Given the bias-variancecovariance decomposition, diversity is char... Alexandra Scherbart, Tim W. Nattkemper.

Improved Mass Spectrometry Peak Intensity Prediction by Adaptive Feature WeightingAlexandra Scherbart, Wiebke Timm, Sebastian Böcker, Tim W.

Peak intensity prediction in MALDI-TOF mass spectrometry: A machine learning study to support quantitative proteomicsWiebke Timm, Alexandra Scherbart, ...

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Alexandra Scherbart, Wiebke Timm, Sebastian Böcker, Tim W. Nattkemper Neural Network Approach for Mass Spectrometry Prediction by Peptide Prototyping.