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ON POSITIONED ECO-GRAMMAR SYSTEMS AND PURE GRAMMARS OF TYPE 0

JOURNAL ARTICLE published 2013 in Neural Network World

Authors: Miroslav Langer | Alice Kelemenová

POLYNOMIAL TIME-BOUNDED COMPUTATIONS IN SPIKING NEURAL P SYSTEMS

JOURNAL ARTICLE published 2013 in Neural Network World

Authors: Petr Sosík | Alfonso Rodríguez-Patón | Lucie Ciencialová

Conditional probability density function estimation with sigmoidal neural networks

JOURNAL ARTICLE published March 1999 in IEEE Transactions on Neural Networks

Authors: A. Sarajedini | R. Hecht-Nielsen | P.M. Chau

A Universal Approximator Network for Predicting Conditional Probability Densities

BOOK CHAPTER published 1999 in Neural Networks for Conditional Probability Estimation

Authors: Dirk Husmeier

Extended hopfield neural network: A complementary approach

JOURNAL ARTICLE published January 1988 in Neural Networks

Attention, Depth Gestalts, and Spatially Extended Chaos in the Perception of Ambiguous Figures

BOOK CHAPTER published 1 September 1999 in Oscillations in Neural Systems

Neural Networks for Conditional Probability Estimation

BOOK published 1999 in Perspectives in Neural Computing

Authors: Dirk Husmeier

Automated Hierarchy Discovery for Planning in Partially Observable Environments

BOOK CHAPTER published 7 September 2007 in Advances in Neural Information Processing Systems 19

Authors: Laurent Charlin | Pascal Poupart | Romy Shioda

Leveraging hierarchy in multimodal generative models for effective cross-modality inference

JOURNAL ARTICLE published February 2022 in Neural Networks

Authors: Miguel Vasco | Hang Yin | Francisco S. Melo | Ana Paiva

Structure Learning in Conditional Probability Models via an Entropic Prior and Parameter Extinction

JOURNAL ARTICLE published 1 July 1999 in Neural Computation

Authors: Matthew Brand

Introduction

BOOK CHAPTER published 1999 in Neural Networks for Conditional Probability Estimation

Authors: Dirk Husmeier

Summary

BOOK CHAPTER published 1999 in Neural Networks for Conditional Probability Estimation

Authors: Dirk Husmeier

Benchmark Problems

BOOK CHAPTER published 1999 in Neural Networks for Conditional Probability Estimation

Authors: Dirk Husmeier

Automatic Relevance Determination (ARD)

BOOK CHAPTER published 1999 in Neural Networks for Conditional Probability Estimation

Authors: Dirk Husmeier

A simple Bayesian regularisation scheme

BOOK CHAPTER published 1999 in Neural Networks for Conditional Probability Estimation

Authors: Dirk Husmeier

Network Committees and Weighting Schemes

BOOK CHAPTER published 1999 in Neural Networks for Conditional Probability Estimation

Authors: Dirk Husmeier

A Maximum Likelihood Training Scheme

BOOK CHAPTER published 1999 in Neural Networks for Conditional Probability Estimation

Authors: Dirk Husmeier

Random Vector Functional Link (RVFL) Networks

BOOK CHAPTER published 1999 in Neural Networks for Conditional Probability Estimation

Authors: Dirk Husmeier

Empirical Demonstration: Combining EM and RVFL

BOOK CHAPTER published 1999 in Neural Networks for Conditional Probability Estimation

Authors: Dirk Husmeier

The Bayesian Evidence Scheme for Regularisation

BOOK CHAPTER published 1999 in Neural Networks for Conditional Probability Estimation

Authors: Dirk Husmeier