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Use of methodological diversity to improve neural network generalisation
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/bf01414174openalex-snapshot
Strategies for improving neural net generalisation
inferredcites →https://doi.org/10.1016/0893-6080(89)90020-8openalex-snapshot
Multilayer feedforward networks are universal approximators
inferredcites →https://doi.org/10.1016/0893-6080(95)00110-7openalex-snapshot
Network generalization differences quantified
inferredcites →https://doi.org/10.1109/32.58771openalex-snapshot
Conceptual modeling of coincident failures in multiversion software
inferredcites →https://doi.org/10.1109/72.363472openalex-snapshot
Generalization and PAC learning: some new results for the class of generalized single-layer networks
inferredcites →https://doi.org/10.1109/tse.1986.6312924openalex-snapshot
An experimental evaluation of the assumption of independence in multiversion programming
inferredcites →https://doi.org/10.21236/ada164453openalex-snapshot
Learning Internal Representations by Error Propagation
inferredcites →https://doi.org/10.5555/70405.70408openalex-snapshot
Multilayer feedforward networks are universal approximators
inferredcites →https://doi.org/10.7551/mitpress/5236.001.0001openalex-snapshot
Parallel Distributed Processing
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Trade-Off Between Diversity and Accuracy in Ensemble Generation
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Ensemble Methods for Time Series Forecasting
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Partitioner Trees for Classification: A New Ensemble Method
inferred← citeshttps://doi.org/10.1007/s10462-016-9535-1openalex-snapshot
Research and development of neural network ensembles: a survey
inferred← citeshttps://doi.org/10.1007/s13042-012-0094-8openalex-snapshot
Performance of global–local hybrid ensemble versus boosting and bagging ensembles
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Taxonomy for characterizing ensemble methods in classification tasks: A review and annotated bibliography
inferred← citeshttps://doi.org/10.1016/j.eswa.2018.04.002openalex-snapshot
Investigating the impact of selection criteria in dynamic ensemble selection methods
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Diversity creation methods: a survey and categorisation
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Evolving hybrid ensembles of learning machines for better generalisation
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An ensemble of dynamic neural network identifiers for fault detection and isolation of gas turbine engines
inferred← citeshttps://doi.org/10.1016/s0950-5849(97)00023-2openalex-snapshot
Software diversity: practical statistics for its measurement and exploitation
inferred← citeshttps://doi.org/10.1109/cec.2009.4983046openalex-snapshot
The diversity/accuracy dilemma: An empirical analysis in the context of heterogeneous ensembles
inferred← citeshttps://doi.org/10.1109/cec.2011.5949849openalex-snapshot
Optimization techniques for the selection of members and attributes in ensemble systems
inferred← citeshttps://doi.org/10.1109/cec.2013.6557649openalex-snapshot
Using good and bad diversity measures in the design of ensemble systems: A genetic algorithm approach
inferred← citeshttps://doi.org/10.1109/cisp.2009.5303973openalex-snapshot
Simple Ensemble of Extreme Learning Machine
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A Novel Dynamic Weight Neural Network Ensemble Model
inferred← citeshttps://doi.org/10.1109/ijcnn.2009.5178758openalex-snapshot
Use of multi-objective genetic algorithms to investigate the diversity/accuracy dilemma in heterogeneous ensembles
inferred← citeshttps://doi.org/10.1109/ijcnn.2009.5178793openalex-snapshot
Feature selection in heterogeneous structure of ensembles: A genetic algorithm approach
inferred← citeshttps://doi.org/10.1109/ijcnn.2015.7280849openalex-snapshot
An analysis of diversity measures for the dynamic design of ensemble of classifiers
inferred← citeshttps://doi.org/10.1109/neurel.2008.4685577openalex-snapshot
Application of hybrid symbolic ensembles to gene expression analyses
inferred← citeshttps://doi.org/10.1111/coin.12090openalex-snapshot
Multiobjective Optimization Techniques for Selecting Important Metrics in the Design of Ensemble Systems
inferred← citeshttps://doi.org/10.1155/2015/862056openalex-snapshot
A Novel Dynamic Weight Neural Network Ensemble Model
inferred← citeshttps://doi.org/10.1162/neco.1996.8.4.869openalex-snapshot
Engineering Multiversion Neural-Net Systems
inferred← citeshttps://doi.org/10.3233/his-2011-0122openalex-snapshot
Comparative performance evaluation of global-local hybrid ensemble
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A design heuristic for hybrid classification ensembles in machine learning
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