grettsz documents

Barbara Hammer et al- Self-Organizing Maps for Time Series
Documents Barbara Hammer et al- Self-Organizing Maps for Time Series
Katharina Tluk v. Toschanowitz, Barbara Hammer and Helge Ritter- Mapping the Design Space of Reinforcement Learning Problems – a Case Study
Documents Katharina Tluk v. Toschanowitz, Barbara Hammer and Helge Ritter- Mapping the Design Space of Reinforcement Learning Problems – a Case Study
Thomas Villmann, Frank-Michael Schleif and Barbara Hammer- Fuzzy Labeled Soft Nearest Neighbor Classification with Relevance Learning
Documents Thomas Villmann, Frank-Michael Schleif and Barbara Hammer- Fuzzy Labeled Soft Nearest Neighbor Classification with Relevance Learning
Marie Cottrell et al- Batch neural gas
Documents Marie Cottrell et al- Batch neural gas
Michael Biehl, Anarta Ghosh and Barbara Hammer- Dynamics and generalization ability of LVQ algorithms
Documents Michael Biehl, Anarta Ghosh and Barbara Hammer- Dynamics and generalization ability of LVQ algorithms
Barbara Hammer, Alexander Hasenfuss and Thomas Villmann- Magnification control for batch neural gas
Documents Barbara Hammer, Alexander Hasenfuss and Thomas Villmann- Magnification control for batch neural gas
Anarta Ghosh, Michael Biehl and Barbara Hammer- Dynamical analysis of LVQ type learning rules
Documents Anarta Ghosh, Michael Biehl and Barbara Hammer- Dynamical analysis of LVQ type learning rules
Michael Biehl, Anarta Ghosh and Barbara Hammer- Learning Vector Quantization: The Dynamics of Winner-Takes-All Algorithms
Documents Michael Biehl, Anarta Ghosh and Barbara Hammer- Learning Vector Quantization: The Dynamics of Winner-Takes-All Algorithms
Anarta Ghosh, Michael Biehl and Barbara Hammer- Performance Analysis of LVQ Algorithms: A Statistical Physics Approach
Documents Anarta Ghosh, Michael Biehl and Barbara Hammer- Performance Analysis of LVQ Algorithms: A Statistical Physics Approach
Marc Strickert and Barbara Hammer- Self-Organizing Context Learning
Documents Marc Strickert and Barbara Hammer- Self-Organizing Context Learning
Marie Cottrell, Barbara Hammer, Alexander Hasenfuß and Thomas Villmann- Batch and median neural gas
Documents Marie Cottrell, Barbara Hammer, Alexander Hasenfuß and Thomas Villmann- Batch and median neural gas
Marc Strickert et al- Generalized Relevance LVQ (GRLVQ) with Correlation Measures for Gene Expression Analysis
Documents Marc Strickert et al- Generalized Relevance LVQ (GRLVQ) with Correlation Measures for Gene Expression Analysis
Barbara Hammer, Alessio Micheli and Alessandro Sperduti- Universal Approximation Capability of Cascade Correlation for Structures
Documents Barbara Hammer, Alessio Micheli and Alessandro Sperduti- Universal Approximation Capability of Cascade Correlation for Structures
Marc Strickert and Barbara Hammer- Neural Gas for Sequences
Documents Marc Strickert and Barbara Hammer- Neural Gas for Sequences
Barbara Hammer, Frank-Michael Schleif and Thomas Villmann- On the generalization ability of prototype-based classifiers with local relevance determination
Documents Barbara Hammer, Frank-Michael Schleif and Thomas Villmann- On the generalization ability of prototype-based classifiers with local relevance determination
Marc Strickert and Barbara Hammer- Merge SOM for temporal data
Documents Marc Strickert and Barbara Hammer- Merge SOM for temporal data
Barbara Hammer et al- Recursive self-organizing network models
Documents Barbara Hammer et al- Recursive self-organizing network models
Robert Odorico- Learning Vector Quantization with Training Count (LVQTC)
Documents Robert Odorico- Learning Vector Quantization with Training Count (LVQTC)
Marc Strickert, Barbara Hammer and Sebastian Blohm- Unsupervised Recursive Sequence Processing
Documents Marc Strickert, Barbara Hammer and Sebastian Blohm- Unsupervised Recursive Sequence Processing
P.A. Estevez, R. Hernandez, C.A. Perez and C.M. Held- Gamma-filter self-organising neural networks for unsupervised sequence processing
Documents P.A. Estevez, R. Hernandez, C.A. Perez and C.M. Held- Gamma-filter self-organising neural networks for unsupervised sequence processing
Kai Gersmann and Barbara Hammer- Improving iterative repair strategies for scheduling with the SVM
Documents Kai Gersmann and Barbara Hammer- Improving iterative repair strategies for scheduling with the SVM