tuhma documents

Jan Jantzen- Introduction To Perceptron Networks
Documents Jan Jantzen- Introduction To Perceptron Networks
Anthony Kuh- Neural Networks and Learning Theory
Documents Anthony Kuh- Neural Networks and Learning Theory
David S. Tuch- Q-Ball Imaging
Documents David S. Tuch- Q-Ball Imaging
David S. Tuch et al- High Angular Resolution Diffusion Imaging Reveals Intravoxel White Matter Fiber Heterogeneity
Documents David S. Tuch et al- High Angular Resolution Diffusion Imaging Reveals Intravoxel White Matter Fiber Heterogeneity
Haibo Li, Torbjorn Kronander and Ingemar Ingemarsson- A Pattern Classifier Integrating Multilayer Perceptron and Error-Correcting Code
Documents Haibo Li, Torbjorn Kronander and Ingemar Ingemarsson- A Pattern Classifier Integrating Multilayer Perceptron and Error-Correcting Code
P.J. Gawthrop and D. Sbarbaro- Stochastic Approximation and Multilayer Perceptrons: The Gain Backpropagation Algorithm
Documents P.J. Gawthrop and D. Sbarbaro- Stochastic Approximation and Multilayer Perceptrons: The Gain Backpropagation Algorithm
Stephan Trenn- Multilayer perceptrons: Approximation order and necessary number of hidden units
Documents Stephan Trenn- Multilayer perceptrons: Approximation order and necessary number of hidden units
Fabrice Rossi, Brieuc Conan-Guez and Francois Fleuret- Theoretical Properties of Functional Multi Layer Perceptrons
Documents Fabrice Rossi, Brieuc Conan-Guez and Francois Fleuret- Theoretical Properties of Functional Multi Layer Perceptrons
P.A. Castillo et al- Optimisation of Multilayer Perceptrons Using a Distributed Evolutionary Algorithm with SOAP
Documents P.A. Castillo et al- Optimisation of Multilayer Perceptrons Using a Distributed Evolutionary Algorithm with SOAP
M. Perrin et al- Fiber tracking in q-ball fields using regularized particle trajectories
Documents M. Perrin et al- Fiber tracking in q-ball fields using regularized particle trajectories
Maxime Descoteaux et al- Regularized, Fast, and Robust Analytical Q-Ball Imaging
Documents Maxime Descoteaux et al- Regularized, Fast, and Robust Analytical Q-Ball Imaging
Kalvis M Jansons and Daniel C Alexander- Persistent angular structure: new insights from diffusion magnetic resonance imaging data
Documents Kalvis M Jansons and Daniel C Alexander- Persistent angular structure: new insights from diffusion magnetic resonance imaging data
Christopher P. Hess et al- Q-Ball Reconstruction of Multimodal Fiber Orientations Using The Spherical Harmonic Basis
Documents Christopher P. Hess et al- Q-Ball Reconstruction of Multimodal Fiber Orientations Using The Spherical Harmonic Basis
Van J. Wedeen et al- Mapping Complex Tissue Architecture With Diffusion Spectrum Magnetic Resonance Imaging
Documents Van J. Wedeen et al- Mapping Complex Tissue Architecture With Diffusion Spectrum Magnetic Resonance Imaging
Evren Ozarslan et al- Resolution of complex tissue microarchitecture using the diffusion orientation transform (DOT)
Documents Evren Ozarslan et al- Resolution of complex tissue microarchitecture using the diffusion orientation transform (DOT)
Maxime Descoteaux, Rachid Deriche and Alfred Anwander- Deterministic and Probabilistic Q-Ball Tractography: from Diffusion to Sharp Fiber Distributions
Documents Maxime Descoteaux, Rachid Deriche and Alfred Anwander- Deterministic and Probabilistic Q-Ball Tractography: from Diffusion to Sharp Fiber Distributions
D. Alexander- A comparison of q-ball and PASMRI on sparse diffusion MRI data
Documents D. Alexander- A comparison of q-ball and PASMRI on sparse diffusion MRI data
Dietmar Heinke and Fred H. Hamker- Comparing Neural Networks: A Benchmark on Growing Neural Gas, Growing Cell Structures, and Fuzzy ARTMAP
Documents Dietmar Heinke and Fred H. Hamker- Comparing Neural Networks: A Benchmark on Growing Neural Gas, Growing Cell Structures, and Fuzzy ARTMAP
Jim Holmström- Growing Neural Gas: Experiments with GNG, GNG with Utility and Supervised GNG
Documents Jim Holmström- Growing Neural Gas: Experiments with GNG, GNG with Utility and Supervised GNG
Clifford Sze-Tsan Choy and Wan-Chi Siu- Fast Sequential Implementation of “Neural-Gas” Network for Vector Quantization
Documents Clifford Sze-Tsan Choy and Wan-Chi Siu- Fast Sequential Implementation of “Neural-Gas” Network for Vector Quantization
Ajantha S. Atukorale and P.N. Suganthan- Hierarchical overlapped neural gas network with application to pattern classification
Documents Ajantha S. Atukorale and P.N. Suganthan- Hierarchical overlapped neural gas network with application to pattern classification