Conferences in DBLP
(annpr) Edmondo Trentin Simple and Effective Connectionist Nonparametric Estimation of Probability Density Functions. [Citation Graph (0, 0)][DBLP ] Conf ] Zouhour Neji Ben Salem , Laurent Bougrain , Frédéric Alexandre Comparison Between Two Spatio-Temporal Organization Maps for Speech Recognition. [Citation Graph (0, 0)][DBLP ] Conf ] Frank Michler , Thomas Wachtler , Reinhard Eckhorn Adaptive Feedback Inhibition Improves Pattern Discrimination Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Barbara Hammer , Alexander Hasenfuss , Frank-Michael Schleif , Thomas Villmann Supervised Batch Neural Gas. [Citation Graph (0, 0)][DBLP ] Conf ] Thomas Villmann , Udo Seiffert , Frank-Michael Schleif , Cornelia Brüß , Tina Geweniger , Barbara Hammer Fuzzy Labeled Self-Organizing Map with Label-Adjusted Prototypes. [Citation Graph (0, 0)][DBLP ] Conf ] Hans A. Kestler , Johann M. Kraus , Günther Palm , Friedhelm Schwenker On the Effects of Constraints in Semi-supervised Hierarchical Clustering. [Citation Graph (0, 0)][DBLP ] Conf ] Neamat El Gayar , Friedhelm Schwenker , Günther Palm A Study of the Robustness of KNN Classifiers Trained Using Soft Labels. [Citation Graph (0, 0)][DBLP ] Conf ] Joaquín Torres-Sospedra , Carlos Hernández-Espinosa , Mercedes Fernández-Redondo An Experimental Study on Training Radial Basis Functions by Gradient Descent. [Citation Graph (0, 0)][DBLP ] Conf ] Jianwei Yin , Xiaoming Liu , Zhilin Feng , Jinxiang Dong A Local Tangent Space Alignment Based Transductive Classification Algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] Xiaoming Liu , Jianwei Yin , Zhilin Feng , Jinxiang Dong Incremental Manifold Learning Via Tangent Space Alignment. [Citation Graph (0, 0)][DBLP ] Conf ] Johannes Fieres , Karlheinz Meier , Johannes Schemmel A Convolutional Neural Network Tolerant of Synaptic Faults for Low-Power Analog Hardware. [Citation Graph (0, 0)][DBLP ] Conf ] Hilario López García , Iván Machón González Ammonium Estimation in a Biological Wastewater Plant Using Feedforward Neural Networks. [Citation Graph (0, 0)][DBLP ] Conf ] Yuya Kamada , Shigeo Abe Support Vector Regression Using Mahalanobis Kernels. [Citation Graph (0, 0)][DBLP ] Conf ] Shinya Katagiri , Shigeo Abe Incremental Training of Support Vector Machines Using Truncated Hypercones. [Citation Graph (0, 0)][DBLP ] Conf ] Yusuke Torii , Shigeo Abe Fast Training of Linear Programming Support Vector Machines Using Decomposition Techniques. [Citation Graph (0, 0)][DBLP ] Conf ] Barbara Spillmann , Michel Neuhaus , Horst Bunke Multiple Classifier Systems for Embedded String Patterns. [Citation Graph (0, 0)][DBLP ] Conf ] Lionel Prevost , Rachid Belaroussi , Maurice Milgram Multiple Neural Networks for Facial Feature Localization in Orientation-Free Face Images. [Citation Graph (0, 0)][DBLP ] Conf ] Rebecca Fay , Friedhelm Schwenker , Christian Thiel , Günther Palm Hierarchical Neural Networks Utilising Dempster-Shafer Evidence Theory. [Citation Graph (0, 0)][DBLP ] Conf ] Joaquín Torres-Sospedra , Carlos Hernández-Espinosa , Mercedes Fernández-Redondo Combining MF Networks: A Comparison Among Statistical Methods and Stacked Generalization. [Citation Graph (0, 0)][DBLP ] Conf ] Alexander Gepperth Object Detection and Feature Base Learning with Sparse Convolutional Neural Networks. [Citation Graph (0, 0)][DBLP ] Conf ] Martin Antenreiter , Christian Savu-Krohn , Peter Auer Visual Classification of Images by Learning Geometric Appearances Through Boosting. [Citation Graph (0, 0)][DBLP ] Conf ] Monica Bianchini , Lorenzo Sarti An Eye Detection System Based on Neural Autoassociators. [Citation Graph (0, 0)][DBLP ] Conf ] Friedhelm Schwenker , Andreas Sachs , Günther Palm , Hans A. Kestler Orientation Histograms for Face Recognition. [Citation Graph (0, 0)][DBLP ] Conf ] Hans A. Kestler , Christoph Müssel An Empirical Comparison of Feature Reduction Methods in the Context of Microarray Data Classification. [Citation Graph (0, 0)][DBLP ] Conf ] Marc Strickert , Nese Sreenivasulu , Silke Peterek , Winfriede Weschke , Hans-Peter Mock , Udo Seiffert Unsupervised Feature Selection for Biomarker Identification in Chromatography and Gene Expression Data. [Citation Graph (0, 0)][DBLP ] Conf ] Hans A. Kestler , Wolfgang Lindner , André Müller Learning and Feature Selection Using the Set Covering Machine with Data-Dependent Rays on Gene Expression Profiles. [Citation Graph (0, 0)][DBLP ] Conf ] 