Add to ORKGSchenck W. Ranking Methods for Neural Gas and NGPCA. Bielefeld: Computer Engineering Group, Faculty of Technology, Bielefeld University; 2008
The optimal brain surgeon (OBS) pruning procedure for automatic selection of the optimal neural netw...
For the purposes of information retrieval, users must find highly relevant documents from within a s...
Hammer B, Villmann T. Input Pruning for Neural Gas Architectures. In: Proc. Of European Symposium o...
Abstract — In this paper we use the maximization of Onicescu’s informational energy as a criteria fo...
Schleif F-M, Hasenfuss A, Hammer B. Aggregation of multiple peak lists by use of an improved neural ...
Teacher train files (ids only), based on the MSMARCO-Passage collection, for the paper: Improving ...
Available from British Library Document Supply Centre-DSC:DXN045687 / BLDSC - British Library Docume...
Schleif F-M, Villmann T, Hammer B. Pattern Recognition by Supervised Relevance Neural Gas and its Ap...
[[abstract]]A genetic algorithm optimized artificial neural network GNW has been designed to rank fe...
Hammer B, Hasenfuss A. Relational Neural Gas. In: Hertzberg J, Beetz M, Englert R, eds. KI 2007: Adv...
RANKS is a flexible software package that can be easily applied to any bioinformatics task formaliza...
Learning to rank is a supervised learning problem that aims to construct a ranking model. The most c...
We are investigating novel architectures of self-organizing maps for pattern classification tasks. W...
Abstract. The neural gas algorithm provides a method to cluster a data space via an adaptive lattice...
neuropredict: easy machine learning and standardized predictive analysis of biomarker
The optimal brain surgeon (OBS) pruning procedure for automatic selection of the optimal neural netw...
For the purposes of information retrieval, users must find highly relevant documents from within a s...
Hammer B, Villmann T. Input Pruning for Neural Gas Architectures. In: Proc. Of European Symposium o...
Abstract — In this paper we use the maximization of Onicescu’s informational energy as a criteria fo...
Schleif F-M, Hasenfuss A, Hammer B. Aggregation of multiple peak lists by use of an improved neural ...
Teacher train files (ids only), based on the MSMARCO-Passage collection, for the paper: Improving ...
Available from British Library Document Supply Centre-DSC:DXN045687 / BLDSC - British Library Docume...
Schleif F-M, Villmann T, Hammer B. Pattern Recognition by Supervised Relevance Neural Gas and its Ap...
[[abstract]]A genetic algorithm optimized artificial neural network GNW has been designed to rank fe...
Hammer B, Hasenfuss A. Relational Neural Gas. In: Hertzberg J, Beetz M, Englert R, eds. KI 2007: Adv...
RANKS is a flexible software package that can be easily applied to any bioinformatics task formaliza...
Learning to rank is a supervised learning problem that aims to construct a ranking model. The most c...
We are investigating novel architectures of self-organizing maps for pattern classification tasks. W...
Abstract. The neural gas algorithm provides a method to cluster a data space via an adaptive lattice...
neuropredict: easy machine learning and standardized predictive analysis of biomarker
The optimal brain surgeon (OBS) pruning procedure for automatic selection of the optimal neural netw...
For the purposes of information retrieval, users must find highly relevant documents from within a s...
Hammer B, Villmann T. Input Pruning for Neural Gas Architectures. In: Proc. Of European Symposium o...