Neural Networks and the Bias/Variance Dilemma

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Comparing various artificial neural network types for water temperature prediction in rivers

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What Does It Mean to be Biased

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An exploration of artificial neural network rainfall-runoff forecasting combined with wavelet decomposition

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Generalization in Interactive Networks: The Benefits of Inhibitory Competition and Hebbian Learning

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A committee machine with empirical formulas for permeability prediction

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An Analysis on Ensemble Learning Optimized Medical Image Classification With Deep Convolutional Neural Networks

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Design of the 2015 ChaLearn AutoML challenge

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Optimal Recall Period for Caregiver-reported Illness in Risk Factor and Intervention Studies: A Multicountry Study

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Stochastic configuration networks ensemble with heterogeneous features for large-scale data analytics

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Productivity modelling of a developed inclined stepped solar still system based on actual performance and using a cascaded forward neural network model

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Machine learning methods reveal the temporal pattern of dengue incidence using meteorological factors in metropolitan Manila, Philippines

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Reliable Extrapolation of Deep Neural Operators Informed by Physics or Sparse Observations

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A review of model evaluation metrics for machine learning in genetics and genomics

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Fault diagnosis of rotating machinery based on auto-associative neural networks and wavelet transforms

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Using unlabeled data to improve text classification

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Managing Dynamics in a Customer Portfolio

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Combining Classifiers: From the Creation of Ensembles to the Decision Fusion

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Machine Learning for Public Administration Research, With Application to Organizational Reputation

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On Different Facets of Regularization Theory

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Applied decision making with fast-and-frugal heuristics.

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Forecasting Thailand’s rice export: Statistical techniques vs. artificial neural networks

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Confidence intervals and prediction intervals for feedforward neural networks

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Towards a Theory of Semantic Space

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A weight-adjusted voting algorithm for ensembles of classifiers

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A committee machine with intelligent systems for estimation of total organic carbon content from petrophysical data: An example from Kangan and Dalan reservoirs in South Pars Gas Field, Iran

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Application of machine learning for advanced material prediction and design

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Ensemble Methods for Classifiers

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A foundational vision transformer improves diagnostic performance for electrocardiograms

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Stigma, biomarkers, and algorithmic bias: recommendations for precision behavioral health with artificial intelligence

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Soft Computing for Knowledge Discovery and Data Mining

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Artificial Neural Network estimation of soil erosion and nutrient concentrations in runoff from land application areas

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The EZ diffusion model provides a powerful test of simple empirical effects

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Machine learning methodologies versus cardiovascular risk scores, in predicting disease risk

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Characterizing Uncertainty in Machine Learning for Chemistry

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An Overview of Radial Basis Function Networks

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A Modern Take on the Bias-Variance Tradeoff in Neural NetworksPreprint

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Ascertaining the Importance of Neurons to Develop Better Brain-Machine Interfaces

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Exploiting Object Hierarchy: Combining Models from Different Category Levels

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Neural Networks as Routine for Error Updating of Numerical Models

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Machine learning identified materials descriptors for ferroelectricity

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A new algorithm to design compact two-hidden-layer artificial neural networks

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A Gradient-Based Boosting Algorithm for Regression Problems

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Data mining tasks and methods: Classification: decision-tree discovery

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A Principal Components Approach to Combining Regression Estimates

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VIEW~~~~~~~~~~~~~~ ~ Communicated by Lawrence Jackel Neural Networks and the Bias/Variance Dilemma

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Neural Networks and the BiadVariance Dilemma

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VIEW Communicated by Lawrence Jackel Neural Networks and the BiadVariance Dilemma

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