Bayesian interpolation

Using Generative Models for Handwritten Digit Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence

A Bayesian/information theoretic model of bias learning

COLT '96 Proceedings of the ninth annual conference on Computational learning theory

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

A Bayesian/Information Theoretic Model of Learning to Learn viaMultiple Task Sampling

Machine Learning - Special issue on inductive transfer

Online learning in radial basis function networks

Neural Computation

Efficient Approximations for the MarginalLikelihood of Bayesian Networks with Hidden Variables

Machine Learning - Special issue on learning with probabilistic representations

Bayesian radial basis functions of variable dimension

Neural Computation

Independent factor analysis

Neural Computation

Comparison of approximate methods for handling hyperparameters

Neural Computation

Application of neural networks to biological data mining: a case study in protein sequence classification

Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining

Bayesian online classifiers for text classification and filtering

SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval

Using Unlabelled Data to Train a Multilayer Perceptron

Neural Processing Letters

Bayesian Networks for Data Mining

Data Mining and Knowledge Discovery

The Role of Occam‘s Razor in Knowledge Discovery

Data Mining and Knowledge Discovery

Niall Griffith and Peter M. Todd, eds., Musical Networks: Parallel Distributed Perception and Performance

Minds and Machines

Bayesian Model Estimation and Selection for Epipolar Geometry and Generic Manifold Fitting

International Journal of Computer Vision

Neural Network Modelling with Input Uncertainty: Theory and Application

Journal of VLSI Signal Processing Systems

The Error-Reject Tradeoff

Open Systems & Information Dynamics

Interpolation models with multiple hyperparameters

Statistics and Computing

Bayesian Methods for Support Vector Machines: Evidence and Predictive Class Probabilities

Machine Learning

A Probabilistic Framework for SVM Regression and Error Bar Estimation

Machine Learning

Theoretical and Experimental Evaluation of the Subspace Information Criterion

Machine Learning

Metric-Based Methods for Adaptive Model Selection and Regularization

Machine Learning

Bidirectional Deformable Matching with Application to Handwritten Character Extraction

IEEE Transactions on Pattern Analysis and Machine Intelligence

Optimal design of regularization term and regularization parameter by subspace information criterion

Neural Networks

A review of evidence of health benefit from artificial neural networks in medical intervention

Neural Networks

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

Algebraic geometrical methods for hierarchical learning machines

Neural Networks

Fusing Neural Networks Through Space Partitioning and Fuzzy Integration

Neural Processing Letters

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

Bayesian model search for mixture models based on optimizing variational bounds

Neural Networks

Layer Extraction with a Bayesian Model of Shapes

ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II

Applying the Bayesian Evidence Framework to \nu -Support Vector Regression

EMCL '01 Proceedings of the 12th European Conference on Machine Learning

Building Committees by Clustering Models Based on Pairwise Similarity Values

EMCL '01 Proceedings of the 12th European Conference on Machine Learning

An Information-Theoretic Characterization of Abstraction in Diagnosis and Hypothesis Selection

Proceedings of the 5th International Symposium on Abstraction, Reformulation and Approximation

Asymmetric Gaussian and Its Application to Pattern Recognition

Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition

A Variational Approach to Robust Regression

ICANN '01 Proceedings of the International Conference on Artificial Neural Networks

Linear Dependency between epsilon and the Input Noise in epsilon-Support Vector Regression

ICANN '01 Proceedings of the International Conference on Artificial Neural Networks

Mining Dependence Structures from Statistical Learning Perspective

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

Nonlinear Vectorial Prediction with Neural Nets

IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Bio-inspired Applications of Connectionism-Part II

Metric Similarities Learning through Examples: An Application to Shape Retrieval

EMMCVPR '01 Proceedings of the Third International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition

Bayesian Learning and Evolutionary Parameter Optimization

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

Automatic Model Selection in a Hybrid Perceptron/Radial Network

MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems

A Hybrid Projection Based and Radial Basis Function Architecture

MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems

Detection and classification of motion boundaries

Eighteenth national conference on Artificial intelligence

On Learning Gene Regulatory Networks Under the Boolean Network Model

Machine Learning

Mining biomolecular data using background knowledge and artificial neural networks

Handbook of massive data sets

Bayesian inference of visual motion boundaries

Exploring artificial intelligence in the new millennium

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

Signal Processing - From signal processing theory to implementation

A Model Selection Criterion for Classification: Application to HMM Topology Optimization

ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1

Sparse bayesian learning and the relevance vector machine

The Journal of Machine Learning Research

The subspace information criterion for infinite dimensional hypothesis spaces

The Journal of Machine Learning Research

Singularities in mixture models and upper bounds of stochastic complexity

Neural Networks

Incremental neural network construction by using correlation as cost function

Design and application of hybrid intelligent systems

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

Design and application of hybrid intelligent systems

Structuring and Querying Documents in an Audio Database Management System

Multimedia Tools and Applications

Predictive automatic relevance determination by expectation propagation

ICML '04 Proceedings of the twenty-first international conference on Machine learning

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

Computers and Operations Research

Adaptive near minimum error rate training for neural networks with application to multiuser detection in CDMA communication systems

Signal Processing

On-line prediction of software reliability using an evolutionary connectionist model

Journal of Systems and Software

Low-cost distributed learning of a Gaussian mixture model for multimedia content-based indexing on a peer-to-peer network

Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval

Intelligent vocal cord image analysis for categorizing laryngeal diseases

IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence

Fluctuation-Dissipation Theorem and Models of Learning

Neural Computation

Subspace Information Criterion for Model Selection

Neural Computation

Online Model Selection Based on the Variational Bayes

Neural Computation

Algebraic Analysis for Nonidentifiable Learning Machines

Neural Computation

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

Neural Networks - 2005 Special issue: IJCNN 2005

Predictability, Complexity, and Learning

Neural Computation

Sequential Monte Carlo Methods to Train Neural Network Models

Neural Computation

Second-Order Learning Algorithm with Squared Penalty Term

Neural Computation

The Bayesian Evidence Scheme for Regularizing Probability-Density Estimating Neural Networks

Neural Computation

Gaussian Processes for Classification: Mean-Field Algorithms

Neural Computation

Ultra-efficient (embedded) SOC architectures based on probabilistic CMOS (PCMOS) technology

Proceedings of the conference on Design, automation and test in Europe: Proceedings

Efficient Discriminant Viewpoint Selection for Active Bayesian Recognition

International Journal of Computer Vision

2006 Special issue: Neural network forecasts of the tropical Pacific sea surface temperatures

Neural Networks - 2006 special issue: Earth sciences and environmental applications of computational intelligence

Forecasting Economic Data with Neural Networks

Computational Economics

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

Neural Networks

A signal denoising algorithm based on overcomplete wavelet representations and Gaussian models

Signal Processing

Stochastic complexities of general mixture models in variational Bayesian learning

Neural Networks

A novel approach for estimation of optimal embedding parameters of nonlinear time series by structural learning of neural network

Neurocomputing

Variational Bayes Solution of Linear Neural Networks and Its Generalization Performance

Neural Computation

Nonparametric identification of population models via Gaussian processes

Automatica (Journal of IFAC)

Stochastic Complexities of Gaussian Mixtures in Variational Bayesian Approximation

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

Probabilistic system-on-a-chip architectures

ACM Transactions on Design Automation of Electronic Systems (TODAES)

2007 Special Issue: Predictive uncertainty in environmental modelling

Neural Networks

2007 Special Issue: Nonlinear principal component analysis of noisy data

Neural Networks

Learning a meta-level prior for feature relevance from multiple related tasks

Proceedings of the 24th international conference on Machine learning

Beamforming using the relevance vector machine

Proceedings of the 24th international conference on Machine learning

Significant vector learning to construct sparse kernel regression models

Neural Networks

Expectation-maximization method for EEG-based continuous cursor control

EURASIP Journal on Applied Signal Processing

Application of the evidence procedure to the estimation of wireless channels

EURASIP Journal on Applied Signal Processing

Hybrid genetic algorithms for structural reliability analysis

Computers and Structures

A New Cost Function for Air Quality Modeling

Journal of VLSI Signal Processing Systems

Stochastic complexity for mixture of exponential families in generalized variational Bayes

Theoretical Computer Science

BM3E: Discriminative Density Propagation for Visual Tracking

IEEE Transactions on Pattern Analysis and Machine Intelligence

Optimally regularized adaptive filtering algorithms for room acoustic signal enhancement

Signal Processing

Predicting opponent's moves in electronic negotiations using neural networks

Expert Systems with Applications: An International Journal

A formal framework and extensions for function approximation in learning classifier systems

Machine Learning

Efficient Similarity Search over Future Stream Time Series

IEEE Transactions on Knowledge and Data Engineering

An orthogonal forward regression technique for sparse kernel density estimation

Neurocomputing

A unified framework to exploit information in BCI data for continuous prediction

Neurocomputing

Sequential Bayesian kernel modelling with non-Gaussian noise

Neural Networks

The evidence framework applied to classification networks

Neural Computation

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

Neurocomputing

Collaborative filtering with interlaced generalized linear models

Neurocomputing

Minimum description length, regularization, and multimodal data

Neural Computation

A theoretical and experimental account of n-tuple classifier performance

Neural Computation

The effects of adding noise during backpropagation training on a generalization performance

Neural Computation

Adaptive voting rules for k-nearest neighbors classifiers

Neural Computation

Regularization in the selection of radial basis function centers

Neural Computation

Pruning from adaptive regularization

Neural Computation

Multilayer perceptrons applied to automatic microfossil detection in Somosaguas Sur paleontologic site (Pozuelo de Alarcón, Madrid, Spain)

ISPRA'06 Proceedings of the 5th WSEAS International Conference on Signal Processing, Robotics and Automation

A semi-evolutionary approach for modeling pedotransfer functions with small size of data using artificial neural networks

ISTASC'06 Proceedings of the 6th WSEAS International Conference on Systems Theory & Scientific Computation

An adaptive penalized maximum likelihood algorithm

Signal Processing

Bayesian Inference and Optimal Design for the Sparse Linear Model

The Journal of Machine Learning Research

Comparison between back propagation neural network and regression models for the estimation of pigment content in rice leaves and panicles using hyperspectral data

International Journal of Remote Sensing

Predicting the quality and usability of spoken dialogue services

Speech Communication

Modelling user preferences and configuring services in B3G devices

Wireless Networks

Incremental GRLVQ: Learning relevant features for 3D object recognition

Neurocomputing

Fuzzy filtering for robust bioconcentration factor modelling

Environmental Modelling & Software

Fully complex-valued radial basis function networks: Orthogonal least squares regression and classification

Neurocomputing

Automatic Diagnosis of the Footprint Pathologies Based on Neural Networks

ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part II

Automatic Diagnosis of Foot Plant Pathologies: A Neural Networks Approach

ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks

A Pattern Recognition Approach to Diagnose Foot Plant Pathologies: From Segmentation to Classification

AIME '07 Proceedings of the 11th conference on Artificial Intelligence in Medicine

The Local True Weight Decay Recursive Least Square Algorithm

Neural Information Processing

The Block Generative Topographic Mapping

ANNPR '08 Proceedings of the 3rd IAPR workshop on Artificial Neural Networks in Pattern Recognition

Data Mining with Neural Networks for Wheat Yield Prediction

ICDM '08 Proceedings of the 8th industrial conference on Advances in Data Mining: Medical Applications, E-Commerce, Marketing, and Theoretical Aspects

Surface Reconstruction Techniques Using Neural Networks to Recover Noisy 3D Scenes

ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I

A fast linear-in-the-parameters classifier construction algorithm using orthogonal forward selection to minimize leave-one-out misclassification rate

International Journal of Systems Science

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

Applied Soft Computing

An Efficient Technique to Detect Visual Defects in Particleboards

Informatica

A batch ensemble approach to active learning with model selection

Neural Networks

Using an artificial neural network prediction model to optimize work-in-process inventory level for wafer fabrication

Expert Systems with Applications: An International Journal

OFDM joint data detection and phase noise cancellation based on minimum mean square prediction error

Signal Processing

A Principled Foundation for LCS

Learning Classifier Systems

Outlier Robust Gaussian Process Classification

SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition

Application of multilayer perceptron and radial basis function neural networks in differentiating between chronic obstructive pulmonary and congestive heart failure diseases

Expert Systems with Applications: An International Journal

Upper bound for variational free energy of Bayesian networks

Machine Learning

Design of a motorcycle frame using neuroacceleration strategies in MOEAs

Journal of Heuristics

Online Feature Selection Algorithm with Bayesian l 1 Regularization

PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining

Orthogonal-least-squares regression: A unified approach for data modelling

Neurocomputing

Underwater bottom still mine classification using robust time-frequency feature and relevance vector machine

International Journal of Computer Mathematics

A majorization-minimization algorithm for (multiple) hyperparameter learning

ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning

Heart Cavity Segmentation in Ultrasound Images Based on Supervised Neural Networks

MIRAGE '09 Proceedings of the 4th International Conference on Computer Vision/Computer Graphics CollaborationTechniques

Using Neural Networks for the Foreign Investment Management Decision Support System

ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks

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

Neurocomputing

Non-Linear Speech coding with MLP, RBF and Elman based prediction1

IWANN '03 Proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks: Part II: Artificial Neural Nets Problem Solving Methods

Ranking of Brain Tumour Classifiers Using a Bayesian Approach

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

Thresholded Neural Networks for Sensitive Industrial Classification Tasks

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

Estimating instantaneous irregularity of neuronal firing

Neural Computation

Boosting Active Learning to Optimality: A Tractable Monte-Carlo, Billiard-Based Algorithm

ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II

Updates for nonlinear discriminants

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

Improving recognition and generalization capability of back-propagation NN using a self-organized network inspired by immune algorithm (SONIA)

Applied Soft Computing

Towards a computer-aided diagnosis system for vocal cord diseases

Artificial Intelligence in Medicine

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

IEEE Transactions on Information Technology in Biomedicine

Multitask compressive sensing

IEEE Transactions on Signal Processing

OFDM joint data detection and phase noise cancellation for constant modulus modulations

IEEE Transactions on Signal Processing

Recursive Bayesian linear regression for adaptive classification

IEEE Transactions on Signal Processing

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

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

Spurious valleys in the error surface of recurrent networks: analysis and avoidance

IEEE Transactions on Neural Networks

Probabilistic classification vector machines

IEEE Transactions on Neural Networks

Partial logistic artificial neural network for competing risks regularized with automatic relevance determination

IEEE Transactions on Neural Networks

Frequency Selection for the Diagnostic Characterization of Human Brain Tumours

Proceedings of the 2009 conference on Artificial Intelligence Research and Development: Proceedings of the 12th International Conference of the Catalan Association for Artificial Intelligence

Prediction of tensile capacity of single adhesive anchors using neural networks

Computers and Structures

Frequency Selection for the Diagnostic Characterization of Human Brain Tumours

Proceedings of the 2009 conference on Artificial Intelligence Research and Development: Proceedings of the 12th International Conference of the Catalan Association for Artificial Intelligence

Realizing general MLP networks with minimal FPGA resources

IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks

A network pruning algorithm for combined function and derivative approximation

IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks

A neural networks algorithm for inferring drug gene regulatory networks from microarray time-series with missing transcription factors information

IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks

Consistent Sobolev regression via fuzzy systems with overlapping concepts

Fuzzy Sets and Systems

3D Human Motion Tracking with a Coordinated Mixture of Factor Analyzers

International Journal of Computer Vision

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

Robust Bayesian mixture modelling

Neurocomputing

Algebraic geometry and stochastic complexity of hidden Markov models

Neurocomputing

Local regularization assisted orthogonal least squares regression

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 with the Loss Rank Principle

Computational Statistics & Data Analysis

Relevance vector machine with adaptive wavelet kernels for efficient image coding

Neurocomputing

Protein sequence classification using probabilistic motifs and neural networks

ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing

The loss rank principle for model selection

COLT'07 Proceedings of the 20th annual conference on Learning theory

A novel AR-based robot programming and path planning methodology

Robotics and Computer-Integrated Manufacturing

Deformable radial basis functions

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

Extended linear models with Gaussian prior on the parameters and adaptive expansion vectors

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

A sparse Bayesian position weighted bio-kernel network

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

Well-log acoustic velocity prediction based on relevance vector machine

ICNC'09 Proceedings of the 5th international conference on Natural computation

Bayesian compressive sensing using Laplace priors

IEEE Transactions on Image Processing

2010 Special Issue: Bayesian estimation of phase response curves

Neural Networks

Bayesian methods for fMRI time-series analysis using a nonstationary model for the noise

IEEE Transactions on Information Technology in Biomedicine - Special section on new and emerging technologies in bioinformatics and bioengineering

A neural network experiment on the site-specific simulation of potato tuber growth in Eastern Canada

Computers and Electronics in Agriculture

Nonlinear regression model generation using hyperparameter optimization

Computers & Mathematics with Applications

Chaotic time series prediction with residual analysis method using hybrid Elman-NARX neural networks

Neurocomputing

A neural network based modeling and validation approach for identifying gene regulatory networks

Neurocomputing

Stochastic Complexity and Generalization Error of a Restricted Boltzmann Machine in Bayesian Estimation

The Journal of Machine Learning Research

On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation

The Journal of Machine Learning Research

A characterization of the time-rescaled gamma process as a model for spike trains

Journal of Computational Neuroscience

Blind source separation of hemodynamics from magnetic resonance perfusion brain images using independent factor analysis

Journal of Biomedical Imaging - Special issue on mathematical methods for images and surfaces

Extracting state transition dynamics from multiple spike trains using hidden markov models with correlated poisson distribution

Neural Computation

Mining data with random forests: A survey and results of new tests

Pattern Recognition

From linear to non-linear kernel based classifiers for bankruptcy prediction

Neurocomputing

Variational inference for Student-t MLP models

Neurocomputing

Maximum Evidence Method for classification of brain tissues in MRI

Pattern Recognition Letters

Combined electromagnetism-like mechanism optimization algorithm and ROLS with D-optimality learning for RBF networks

LSMS/ICSEE'10 Proceedings of the 2010 international conference on Life system modeling and simulation and intelligent computing, and 2010 international conference on Intelligent computing for sustainable energy and environment: Part II

Sparse spatio-temporal inference of electromagnetic brain sources

MLMI'10 Proceedings of the First international conference on Machine learning in medical imaging

Pairwise issue modeling for negotiation counteroffer prediction using neural networks

Decision Support Systems

Network-based sparse Bayesian classification

Pattern Recognition

Artificial intelligence solution to transmission loss allocation problem

Expert Systems with Applications: An International Journal

Sparse bayesian learning for identifying imaging biomarkers in AD prediction

MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part III

Soft-computing models for soot-blowing optimization in coal-fired utility boilers

Applied Soft Computing

Performance evaluation of an automatic inspection system of weld defects in radiographic images based on neuro-classifiers

Expert Systems with Applications: An International Journal

Artificial neural network-based system for PET volume segmentation

Journal of Biomedical Imaging

Range estimation of construction costs using neural networks with bootstrap prediction intervals

Expert Systems with Applications: An International Journal

An inverse parameter identification procedure assessing the quality of the estimates using Bayesian neural networks

Applied Soft Computing

Recognition of cancer samples in the optical scattering spectra dataflow using multi-layer perceptron

BEBI'08 Proceedings of the 1st WSEAS international conference on Biomedical electronics and biomedical informatics

A global-local artificial neural network with application to wave overtopping prediction

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

Robust design of a re-entry unmanned space vehicle by multi-fidelity evolution control

Proceedings of the 13th annual conference on Genetic and evolutionary computation

Assessment of structural simulation models by estimating uncertainties due to model selection and model simplification

Computers and Structures

A hybrid system for dental milling parameters optimisation

HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part II

Problems of machine learning

PReMI'11 Proceedings of the 4th international conference on Pattern recognition and machine intelligence

Financial ratings with scarce information: A neural network approach

Expert Systems with Applications: An International Journal

Protein Classification with Extended-Sequence Coding by Sliding Window

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)

Inferring parameters and structure of latent variable models by variational bayes

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

Theoretical Analysis of Bayesian Matrix Factorization

The Journal of Machine Learning Research

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

Stochastic complexity of bayesian networks

UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence

Stochastic complexity for mixture of exponential families in variational bayes

ALT'05 Proceedings of the 16th international conference on Algorithmic Learning Theory

Design of a high precision temperature measurement system

ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III

Fast kernel classifier construction using orthogonal forward selection to minimise leave-one-out misclassification rate

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

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

Learning multi-category classification in bayesian framework

ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I

Evolving neural networks using the hybrid of ant colony optimization and BP algorithms

ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I

Optimal stopping and constraints for diffusion models of signals with discontinuities

ECML'05 Proceedings of the 16th European conference on Machine Learning

Bayesian kernel learning methods for parametric accelerated life survival analysis

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

Multi-reservoir echo state network with sparse bayesian learning

ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part I

Nonlinear speech processing: overview and possibilities in speech coding

Nonlinear Speech Modeling and Applications

Identification of nonlinear oscillator models for speech analysis and synthesis

Nonlinear Speech Modeling and Applications

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

Upper bounds for variational stochastic complexities of bayesian networks

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

Using neural networks to detect microfossil teeth in somosaguas sur paleontological site

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

Numerical assessment of metamodelling strategies in computationally intensive optimization

Environmental Modelling & Software

Robust optic-flow estimation with bayesian inference of model and hyper-parameters

SSVM'11 Proceedings of the Third international conference on Scale Space and Variational Methods in Computer Vision

Age estimation using bayesian process

PAKDD'11 Proceedings of the 15th international conference on New Frontiers in Applied Data Mining

An ischemia detection method based on artificial neural networks

Artificial Intelligence in Medicine

Brief Fast spline smoothing via spectral factorization concepts

Automatica (Journal of IFAC)

Brief Regularization networks for inverse problems: A state-space approach

Automatica (Journal of IFAC)

Learning coefficient of generalization error in bayesian estimation and vandermonde matrix-type singularity

Neural Computation

Dynamic control model of BOF steelmaking process based on ANFIS and robust relevance vector machine

Expert Systems with Applications: An International Journal

The automatic model selection and variable kernel width for RBF neural networks

Neurocomputing

Multi-output local Gaussian process regression: Applications to uncertainty quantification

Journal of Computational Physics

Quantile based decision making rule of the neural networks committee for ill-posed approximation problems

Neurocomputing

A novel locally regularized automatic construction method for RBF neural models

Neurocomputing

On two-way Bayesian agglomerative clustering of gene expression data

Statistical Analysis and Data Mining

A novel automatic two-stage locally regularized classifier construction method using the extreme learning machine

Neurocomputing

Estimation of damage in high strength steels

Applied Soft Computing

Semi-physical neural modeling for linear signal restoration

Neural Networks

Fusion of facial expressions and EEG for implicit affective tagging

Image and Vision Computing

Applying soft computing techniques to optimise a dental milling process

Neurocomputing

Information transmission using non-poisson regular firing

Neural Computation

GAMLSS and neural networks in combat simulation metamodelling: A case study

Expert Systems with Applications: An International Journal

Bayesian mixed-effects inference on classification performance in hierarchical data sets

The Journal of Machine Learning Research

Eigenvalue decay: A new method for neural network regularization

Neurocomputing

Low bit rate compression methods of feature vectors for distributed speech recognition

Speech Communication

Sparse/robust estimation and Kalman smoothing with nonsmooth log-concave densities: modeling, computation, and theory

The Journal of Machine Learning Research

Epileptic seizure classification in EEG signals using second-order difference plot of intrinsic mode functions

Computer Methods and Programs in Biomedicine

A multi-output two-stage locally regularized model construction method using the extreme learning machine

Neurocomputing

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

Journal of Computer and Systems Sciences International