A practical Bayesian framework for backpropagation 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

The time dimension of neural network models

ACM SIGART Bulletin

Hyperparameter selection for self-organizing maps

Neural Computation

Probabilistic independence networks for hidden Markov probability models

Neural Computation

Statistical inference, Occam's razor, and statistical mechanics on the space of probability distributions

Neural Computation

Flat minima

Neural Computation

An Enhancement of Generalization Ability in Cascade CorrelationAlgorithm by Avoidance of Overfitting/Overtraining Problem

Neural Processing Letters

Efficient Approximations for the MarginalLikelihood of Bayesian Networks with Hidden Variables

Machine Learning - Special issue on learning with probabilistic representations

Adaptive Probabilistic Networks with Hidden Variables

Machine Learning - Special issue on learning with probabilistic representations

Toward optimally distributed computation

Neural Computation

Extraction of Logical Rules from Neural Networks

Neural Processing Letters

Issues in Bayesian analysis of neural network models

Neural Computation

Computation with infinite neural networks

Neural Computation

Bayesian radial basis functions of variable dimension

Neural Computation

Choice of Basis for Laplace Approximation

Machine Learning

Neural feature abstraction from judgements of similarity

Neural Computation

An adaptive Bayesian pruning for neural networks in a non-stationary environment

Neural Computation

Comparison of approximate methods for handling hyperparameters

Neural Computation

Bayesian Sampling and Ensemble Learning in Generative Topographic Mapping

Neural Processing Letters

Fault Diagnosis of Analog Circuits Using Bayesian Neural Networks with Wavelet Transform as Preprocessor

Journal of Electronic Testing: Theory and Applications

Bayesian Networks for Data Mining

Data Mining and Knowledge Discovery

Dynamic Learning with the EM Algorithm for Neural Networks

Journal of VLSI Signal Processing Systems

Response to the comments by J. Larsen and L.K. Hansen for Rivals, I., & Personnaz, L. (2000): construction of confidence intervals for neural networks based on least squares estimation

Neural Networks

An approach to guaranteeing generalisation in neural networks

Neural Networks

On the Hierarchical Bayesian Approach to Image Restoration: Applications to Astronomical Images

IEEE Transactions on Pattern Analysis and Machine Intelligence

Bayesian learning and evolutionary parameter optimization

AI Communications - Special issue on KI-2001

Learning curves for Gaussian process regression: approximations and bounds

Neural Computation

MLP in layer-wise form with applications to weight decay

Neural Computation

Local overfitting control via leverages

Neural Computation

Bayesian model search for mixture models based on optimizing variational bounds

Neural Networks

An unsupervised ensemble learning method for nonlinear dynamic state-space models

Neural Computation

Bayesian model assessment and comparison using cross-validation predictive densities

Neural Computation

Bayesian Learning Techniques: Application to Neural Networks with Constraints on Weight Space

WIRN VIETRI 2002 Proceedings of the 13th Italian Workshop on Neural Nets-Revised Papers

Applying Machine Learning to Solve an Estimation Problem in Software Inspections

ICANN '02 Proceedings of the International Conference on Artificial Neural Networks

Efficient and Effective Feature Selection in the Presence of Feature Interaction and Noise

ICAPR '01 Proceedings of the Second International Conference on Advances in Pattern Recognition

Mining Dependence Structures from Statistical Learning Perspective

IDEAL '02 Proceedings of the Third International Conference on Intelligent Data Engineering and Automated Learning

The Hierarchical Neuro-Fuzzy BSP Model: An Application in Electric Load Forecasting

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

Bayesian Learning and Evolutionary Parameter Optimization

KI '01 Proceedings of the Joint German/Austrian Conference on AI: Advances in Artificial Intelligence

Bayesian Neural Network Learning for Prediction in the Australian Dairy Industry

IDA '99 Proceedings of the Third International Symposium on Advances in Intelligent Data Analysis

Feature Extraction and Selection in Tool Condition Monitoring System

AI '02 Proceedings of the 15th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence

BYY harmony learning, structural RPCL, and topological self-organizing on mixture models

Neural Networks - New developments in self-organizing maps

Mining biomolecular data using background knowledge and artificial neural networks

Handbook of massive data sets

Application of Bayesian trained RBF networks to nonlinear time-series modeling

Signal Processing - From signal processing theory to implementation

An effective Bayesian neural network classifier with a comparison study to support vector machine

Neural Computation

A novel neural network-based survival analysis model

Neural Networks - 2003 Special issue: Advances in neural networks research — IJCNN'03

Bayesian trigonometric support vector classifier

Neural Computation

Using Machine Learning for Estimating the Defect Content After an Inspection

IEEE Transactions on Software Engineering

Overfitting problem: a new perspective from the geometrical interpretation of MLP

Design and application of hybrid intelligent systems

A Bayesian approach toward active learning for collaborative filtering

UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence

Neural network uncertainty assessment using Bayesian statistics: a remote sensing application

Neural Computation

Bayesian neural networks for nonlinear time series forecasting

Statistics and Computing

Approximating the sheep milk production curve through the use of artificial neural networks and genetic algorithms

Computers and Operations Research

Evidence Evaluation for Bayesian Neural Networks Using Contour Monte Carlo

Neural Computation

A Comparative Study of Feature-Salience Ranking Techniques

Neural Computation

Online Model Selection Based on the Variational Bayes

Neural Computation

2005 Special Issue: Constructing Bayesian formulations of sparse kernel learning methods

Neural Networks - 2005 Special issue: IJCNN 2005

Robust Full Bayesian Learning for Radial Basis Networks

Neural Computation

Density Estimation by Mixture Models with Smoothing Priors

Neural Computation

A neighborhood-based enhancement of the Gauss-Newton Bayesian regularization training method

Neural Computation

Comparison of recent methods for inference of variable influence in neural networks

Neural Networks

A novel information geometric approach to variable selection in MLP networks

Neural Networks

Quantitative characterization and prediction of on-line purchasing behavior: a latent variable approach

International Journal of Electronic Commerce - Special issue: Electronic intermediaries and networks in business-to-business electronic commerce

Bayesian testing for non-linearity in volatility modeling

Computational Statistics & Data Analysis

A cooperative constructive method for neural networks for pattern recognition

Pattern Recognition

Invariance priors for Bayesian feed-forward neural networks

Neural Networks

A unified perspective and new results on RHT computing, mixture based learning, and multi-learner based problem solving

Pattern Recognition

A Stochastic Algorithm for Feature Selection in Pattern Recognition

The Journal of Machine Learning Research

Preventing Over-Fitting during Model Selection via Bayesian Regularisation of the Hyper-Parameters

The Journal of Machine Learning Research

2007 Special Issue: Predictive uncertainty in environmental modelling

Neural Networks

Beyond low-order statistical response surfaces: latent variable regression for efficient, highly nonlinear fitting

Proceedings of the 44th annual Design Automation Conference

Annealing stochastic approximation Monte Carlo algorithm for neural network training

Machine Learning

Construction of Bayesian support vector regression in the feature space spanned by Bezier-Bernstein polynomial functions

Cybernetics and Systems Analysis

Neural networks deterioration models for serviceability condition of buried stormwater pipes

Engineering Applications of Artificial Intelligence

Neural network models for conditional distribution under bayesian analysis

Neural Computation

Tree-structured smooth transition regression models

Computational Statistics & Data Analysis

The evidence framework applied to classification networks

Neural Computation

2008 Special Issue: Time-to-event analysis with artificial neural networks: An integrated analytical and rule-based study for breast cancer

Neural Networks

Third-order generalization: A new approach to categorizing higher-order generalization

Neurocomputing

A comparison of some error estimates for neural network models

Neural Computation

Pruning from adaptive regularization

Neural Computation

Comparison of some neural network and scattered data approximations: The inverse manipulator kinematics example

Neural Computation

Feature selection of radar-derived attributes with linear programming support vector machines

ICCOMP'05 Proceedings of the 9th WSEAS International Conference on Computers

Bayesian decisions with differentially fed neural networks

ICECS'03 Proceedings of the 2nd WSEAS International Conference on Electronics, Control and Signal Processing

The Local True Weight Decay Recursive Least Square Algorithm

Neural Information Processing

Enhancing the generalization ability of neural networks through controlling the hidden layers

Applied Soft Computing

Simulating the seismic response of embankments via artificial neural networks

Advances in Engineering Software

Quantum-minimized BWGC/NGARCH approach to financial time series forecast

Neurocomputing

An experimental study on methods for the selection of basis functions in regression

Neurocomputing

Experiments and Reference Models in Training Neural Networks for Short-Term Wind Power Forecasting in Electricity Markets

IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence

Predicting investment behavior: An augmented reinforcement learning model

Neurocomputing

Characterization of the convergence of stationary Fokker-Planck learning

Neurocomputing

Connectionist theory refinement: genetically searching the space of network topologies

Journal of Artificial Intelligence Research

Operations for learning with graphical models

Journal of Artificial Intelligence Research

Challenge: what is the impact of Bayesian networks on learning?

IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1

Representations for action selection learning from real-time observation of task experts

IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence

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

Artificial Intelligence in Medicine

New decision support tool for treatment intensity choice in childhood acute lymphoblastic leukemia

IEEE Transactions on Information Technology in Biomedicine

A new adaptive merging and growing algorithm for designing artificial neural networks

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Sequential non-stationary dynamic classification with sparse feedback

Pattern Recognition

Auto claim fraud detection using Bayesian learning neural networks

Expert Systems with Applications: An International Journal

A novel hierarchical Bayesian HMM for multi-dimensional discrete data

AIA '08 Proceedings of the 26th IASTED International Conference on Artificial Intelligence and Applications

Recognition of drug-target interaction patterns using genetic algorithm-optimized Bayesian-regularized neural networks and support vector machines

SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics

The evidence framework applied to sparse kernel logistic regression

Neurocomputing

Bayesian decision theory on three-layer neural networks

Neurocomputing

Output partitioning of neural networks

Neurocomputing

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

Neural Networks

Model Selection: Beyond the Bayesian/Frequentist Divide

The Journal of Machine Learning Research

Recursive Bayesian recurrent neural networks for time-series modeling

IEEE Transactions on Neural Networks

Variational GTM

IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning

Edge-preserving Bayesian image superresolution based on compound Markov random fields

ICANN'07 Proceedings of the 17th international conference on Artificial neural networks

Ordinal regression with sparse Bayesian

ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications

Bayesian inference based on stationary fokker-planck sampling

Neural Computation

Sampling rate reduction for 60 GHz UWB communication using compressive sensing

Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers

Classifying sleep apneas using neural networks and a combination of experts

CAEPIA'09 Proceedings of the Current topics in artificial intelligence, and 13th conference on Spanish association for artificial intelligence

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

Expert Systems with Applications: An International Journal

Variable selection and prediction of rainfall from WSR-88D radar using support vector regression

NN'05 Proceedings of the 6th WSEAS international conference on Neural networks

Smooth Bayesian kernel machines

ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II

Application of Bayesian MLP techniques to predicting mineralization potential from geoscientific data

ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II

Neuro-fuzzy modeling and fuzzy rule extraction applied to conflict management

ICONIP'06 Proceedings of the 13th international conference on Neural information processing - Volume Part III

Regularizers for fault tolerant multilayer feedforward networks

Neurocomputing

Discriminative semi-supervised learning of dynamical systems for motion estimation

Pattern Recognition

Learning Transformation Models for Ranking and Survival Analysis

The Journal of Machine Learning Research

The copula echo state network

Pattern Recognition

Learning the mean: A neural network approach

Neurocomputing

Inferring parameters and structure of latent variable models by variational bayes

UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence

Reversible jump MCMC simulated annealing for neural networks

UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence

Dynamic substructuring and reanalysis methods in a surrogate-based design optimization environment

Structural and Multidisciplinary Optimization

Image registration with regularized neural network

ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II

Peak ground velocity evaluation by artificial neural network for west america region

ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II

Application of bayesian techniques for MLPs to financial time series forecasting

AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence

Verification and validation of artificial neural network models

AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence

Artificial neural network methodology for soil liquefaction evaluation using CPT values

ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I

Comparative investigation on dimension reduction and regression in three layer feed-forward neural network

ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I

Bayesian neural networks for prediction of protein secondary structure

ADMA'05 Proceedings of the First international conference on Advanced Data Mining and Applications

Automatic MLP weight regularization on mineralization prediction tasks

KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III

Towards learning spiculation score of the masses in mammography images

IWDM'10 Proceedings of the 10th international conference on Digital Mammography

Bayesian kernel learning methods for parametric accelerated life survival analysis

Proceedings of the First international conference on Deterministic and Statistical Methods in Machine Learning

A mixture of experts for classifying sleep apneas

Expert Systems with Applications: An International Journal

Comparative assessment of the robustness of missing data imputation through generative topographic mapping

IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems

Data-driven based model for flow prediction of steam system in steel industry

Information Sciences: an International Journal

Neural networks for probabilistic environmental prediction: Conditional Density Estimation Network Creation and Evaluation (CaDENCE) in R

Computers & Geosciences

Identification of nonlinear oscillator models for speech analysis and synthesis

Nonlinear Speech Modeling and Applications

Recent advances and future challenges for artificial neural systems in geotechnical engineering applications

Advances in Artificial Neural Systems

Bayesian learning for feed-forward neural network with application to proteomic data: the glycosylation sites detection of the epidermal growth factor-like proteins associated with cancer as a case study

AI'06 Proceedings of the 19th international conference on Advances in Artificial Intelligence: Canadian Society for Computational Studies of Intelligence

A fast algorithm for relevance vector machine

IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning

Short-term load forecasting using bayesian neural networks learned by Hybrid Monte Carlo algorithm

Applied Soft Computing

Modelling of water quality: an application to a water treatment process

Applied Computational Intelligence and Soft Computing

Predictive neuro-control of uncertain systems: design and use of a neuro-optimizer

Automatica (Journal of IFAC)

A probabilistic method for assisting knowledge extraction from artificial neural networks used for hydrological prediction

Mathematical and Computer Modelling: An International Journal

Several methods usable in production systems prediction

Mathematical and Computer Modelling: An International Journal

Deriving prediction intervals for neuro-fuzzy networks

Mathematical and Computer Modelling: An International Journal

Visual quality recognition of nonwovens using generalized Gaussian density model and robust Bayesian neural network

Neurocomputing

Optimization of tuning parameters for open node fault regularizer

Neurocomputing

Feature analysis in tool condition monitoring: a case study in titanium machining

International Journal of Computer Applications in Technology

Estimation of damage in high strength steels

Applied Soft Computing

Modeling plasma surface modification of textile fabrics using artificial neural networks

Engineering Applications of Artificial Intelligence

A new BP neural network based method for load harmonic current assessment

ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part II

A brain-computer interface for high-level remote control of an autonomous, reinforcement-learning-based robotic system for reaching and grasping

Proceedings of the 19th international conference on Intelligent User Interfaces

Neural network modeling of vector multivariable functions in ill-posed approximation problems

Journal of Computer and Systems Sciences International