Learning translation invariant recognition in massively parallel networks

Keeping the neural networks simple by minimizing the description length of the weights

COLT '93 Proceedings of the sixth annual conference on Computational learning theory

Methods to speed up error back-propagation learning algorithm

ACM Computing Surveys (CSUR)

A hybrid learning network for shift-invariant recognition

Neural Networks

Improving generalization capabilities of dynamic neural networks

Neural Computation

Bilinear Sparse Coding for Invariant Vision

Neural Computation

Robust Full Bayesian Learning for Radial Basis Networks

Neural Computation

Gradient-Based Optimization of Hyperparameters

Neural Computation

Efficient Block Training of Multilayer Perceptrons

Neural Computation

Second-Order Learning Algorithm with Squared Penalty Term

Neural Computation

Self-Organization of Symmetry Networks: Transformation Invariance from the Spontaneous Symmetry-Breaking Mechanism

Neural Computation

Learning the Lie Groups of Visual Invariance

Neural Computation

Generation, local receptive fields and global convergence improve perceptual learning in connectionist networks

IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 1

A new method for sleep apnea classification using wavelets and feedforward neural networks

Artificial Intelligence in Medicine

Learning from Examples to Generalize over Pose and Illumination

ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II

Automatic model selection for the optimization of SVM kernels

Pattern Recognition

A better selection of patterns in lazy learning radial basis neural networks

IWANN'03 Proceedings of the Artificial and natural neural networks 7th international conference on Computational methods in neural modeling - Volume 1

The classification game: complexity regularization through interaction

COIN'09 Proceedings of the 5th international conference on Coordination, organizations, institutions, and norms in agent systems

Prediction intervals to account for uncertainties in neural network predictions: Methodology and application in bus travel time prediction

Engineering Applications of Artificial Intelligence

The predictive accuracy of feed forward neural networks and multiple regression in the case of heteroscedastic data

Applied Soft Computing

A tuning method for the architecture of neural network models incorporating GAM and GA as applied to bankruptcy prediction

Expert Systems with Applications: An International Journal

Validation of Nonlinear PCA

Neural Processing Letters

2013 Special Issue: Learning invariant face recognition from examples

Neural Networks