A Practical Bayesian Framework for Backpropagation Networks
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Probabilistic brains: knowns and unknownsActive data collection for efficient estimation and comparison of nonlinear neural models.In silico prediction of estrogen receptor subtype binding affinity and selectivity using statistical methods and molecular docking with 2-arylnaphthalenes and 2-arylquinolines.Flat minima.Issues in Bayesian Analysis of Neural Network ModelsCompetition in the German pharmacy market: an empirical analysis.Integrated genomic and BMI analysis for type 2 diabetes risk assessment.Working memory load modulation of parieto-frontal connections: evidence from dynamic causal modeling.Unsupervised Learning in an Ensemble of Spiking Neural Networks Mediated by ITDP.Influence of the optimization methods on neural state estimation quality of the drive system with elasticity.Genetic algorithm optimization in drug design QSAR: Bayesian-regularized genetic neural networks (BRGNN) and genetic algorithm-optimized support vectors machines (GA-SVM).Overcoming catastrophic forgetting in neural networks.Statistical physics theory of query learning by an ensemble of higher-order neural networks.A renaissance of neural networks in drug discovery.Bayesian algorithm implementation in a real time exposure assessment model on benzene with calculation of associated cancer risksA comparison of neural network approaches for on-line prediction in IGRT.Bayesian model assessment and comparison using cross-validation predictive densities.Virtual sensors for on-line wheel wear and part roughness measurement in the grinding process.Probabilistic independence networks for hidden Markov probability models.Removal of surface reflection from above-water visible-near infrared spectroscopic measurements.Technical note: An R package for fitting Bayesian regularized neural networks with applications in animal breeding.Comparison of neural network, Bayesian, and multiple stepwise regression-based limited sampling models to estimate area under the curve.Application of Multilayer Perceptron with Automatic Relevance Determination on Weed Mapping Using UAV Multispectral Imagery.Ab initio potential-energy surfaces for complex, multichannel systems using modified novelty sampling and feedforward neural networks.Modelling drying kinetics of thyme (Thymus vulgaris L.): theoretical and empirical models, and neural networks.Theoretical investigation of the dissociation dynamics of vibrationally excited vinyl bromide on an ab initio potential-energy surface obtained using modified novelty sampling and feed-forward neural networks.Leveraging uncertainty information from deep neural networks for disease detection.Automatic Classification of Sub-Techniques in Classical Cross-Country Skiing Using a Machine Learning Algorithm on Micro-Sensor Data.MLP in layer-wise form with applications to weight decay.An Artificial Neural Network for Movement Pattern Analysis to Estimate Blood Alcohol Content Level.Sir David John Cameron MacKay FRS. 22 April 1967 — 14 April 2016Non-proliferative diabetic retinopathy symptoms detection and classification using neural network.An adaptive Bayesian pruning for neural networks in a non-stationary environment.Calibration of medical diagnostic classifier scores to the probability of disease.QSAR modelling of integrin antagonists using enhanced Bayesian regularised genetic neural networks.Bayesian inference based on stationary Fokker-Planck sampling.Robust full Bayesian learning for radial basis networks.Toward optimally distributed computation.Neural network models for conditional distribution under bayesian analysis.Modeling of acetylcholinesterase inhibition by tacrine analogues using Bayesian-regularized Genetic Neural Networks and ensemble averaging.
P2860
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P2860
A Practical Bayesian Framework for Backpropagation Networks
description
1992 nî lūn-bûn
@nan
1992 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
1992 թվականի մայիսին հրատարակված գիտական հոդված
@hy
1992年の論文
@ja
1992年論文
@yue
1992年論文
@zh-hant
1992年論文
@zh-hk
1992年論文
@zh-mo
1992年論文
@zh-tw
1992年论文
@wuu
name
A Practical Bayesian Framework for Backpropagation Networks
@ast
A Practical Bayesian Framework for Backpropagation Networks
@en
type
label
A Practical Bayesian Framework for Backpropagation Networks
@ast
A Practical Bayesian Framework for Backpropagation Networks
@en
prefLabel
A Practical Bayesian Framework for Backpropagation Networks
@ast
A Practical Bayesian Framework for Backpropagation Networks
@en
P3181
P1433
P1476
A Practical Bayesian Framework for Backpropagation Networks
@en
P2093
David J. C. MacKay
P304
P3181
P356
10.1162/NECO.1992.4.3.448
P577
1992-05-01T00:00:00Z