Citing 9
Cited 18

Neural networks: an introduction

Neural networks: an introduction
Neural computing: an introduction

Neural computing: an introduction
A practical Bayesian framework for backpropagation networks

Neural Computation
The unpredictability of standard back propagation neural networks in classification applications

Management Science
Neural networks in applied statistics

Technometrics
Bayesian Learning for Neural Networks

Bayesian Learning for Neural Networks
Neural Networks for Pattern Recognition

Neural Networks for Pattern Recognition
Bayesian Learning via Stochastic Dynamics

Advances in Neural Information Processing Systems 5, [NIPS Conference]
A review of Bayesian neural networks with an application to near infrared spectroscopy

IEEE Transactions on Neural Networks

Bayesian analysis of M/Er/1 and M/H_k/1 queues

Queueing Systems: Theory and Applications
A Neural Associative Pattern Classifier

IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
Evolving High-Posterior Self-Organizing Maps

IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Connectionist Models of Neurons, Learning Processes and Artificial Intelligence-Part I
Extended Bayesian Regression Models: A Symbiotic Application of Belief Networks and Multilayer Perceptrons for the Classification of Ovarian Tumors

AIME '01 Proceedings of the 8th Conference on AI in Medicine in Europe: Artificial Intelligence Medicine
Bayesian neural networks for nonlinear time series forecasting

Statistics and Computing
Evidence Evaluation for Bayesian Neural Networks Using Contour Monte Carlo

Neural Computation
Bayesian Analysis of Nonlinear Autoregression Models Based on Neural Networks

Neural Computation
Robust Full Bayesian Learning for Radial Basis Networks

Neural Computation
Sequential Monte Carlo Methods to Train Neural Network Models

Neural Computation
Bayesian testing for non-linearity in volatility modeling

Computational Statistics & Data Analysis
Annealing stochastic approximation Monte Carlo algorithm for neural network training

Machine Learning
Neural network models for conditional distribution under bayesian analysis

Neural Computation
A Genre-Aware Approach to Focused Crawling

World Wide Web
An evaluation of Bayesian techniques for controlling model complexity and selecting inputs in a neural network for short-term load forecasting

Neural Networks
Wavelet energy signatures and robust Bayesian neural network for visual quality recognition of nonwovens

Expert Systems with Applications: An International Journal
Competitive associative nets and cross-validation for estimating predictive uncertainty on regression problems

MLCW'05 Proceedings of the First international conference on Machine Learning Challenges: evaluating Predictive Uncertainty Visual Object Classification, and Recognizing Textual Entailment
Bayesian applications of belief networks and multilayer perceptrons for ovarian tumor classification with rejection

Artificial Intelligence in Medicine
Panacea: towards holistic optimization of MapReduce applications

Proceedings of the Tenth International Symposium on Code Generation and Optimization

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Issues in Bayesian analysis of neural network models

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Abstract