Investigating the structural diversity within a committee of classifiers and their generalization performance

No abstract is available for this paper.

• Publication year

  2009

• Venue

  Unknown venue

• Publication date

  2009-10-30

• Fields of study

  Mathematics, Computer Science, Engineering

• Identifiers

  No identifiers available.

• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Using ensemble of classifiers for predicting HIV protease cleavage sites in proteins

  2009cited by this paper
• Investigating Ensemble Weight and the Certainty Distributions for Indicating Structural Diversity

  2009cited by this paper
• Relationship between Structural Diversity and Performance of Multiple Classifiers for Decision Support

  2009cited by this paper
• A Computational Intelligence Approach to Modelling Interstate Conflict: Forecasting and Causal Interpretations

  2008cited by this paper
• The use of entropy to measure structural diversity

  2008cited by this paper
• The Effect of Structural Diversity of an Ensemble of Classifiers on Classification Accuracy

  2008influential reference
• Diversity in multiple classifier ensembles based on binary feature quantisation with application to face recognition

  2008cited by this paper
• Bagging and Boosting Negatively Correlated Neural Networks

  2008cited by this paper
• Remote online machine condition monitoring system

  2008cited by this paper
• Streamlining automotive product development using neural networks

  2008cited by this paper
• A Theoretical Analysis of Bagging as a Linear Combination of Classifiers

  2008cited by this paper
• Reliability of quantitative EMG analysis of the extensor carpi radialis muscle.

  2008cited by this paper
• A Novel Ensemble Strategy for Classification of Prostate Cancer Protein Mass Spectra

  2007cited by this paper
• Biodiversity Economics: Why the measurement of species diversity requires prior value judgements

  2007cited by this paper
• An Ensemble-Based Incremental Learning Approach to Data Fusion

  2007cited by this paper
• Classification by evolutionary ensembles

  2006cited by this paper
• Ensemble based systems in decision making

  2006influential reference
• Bayesian Training of Neural Networks Using Genetic Programming

  2006cited by this paper
• Multiple classifier systems for multisensor data fusion

  2006cited by this paper
• An empirical comparison of combinations of evolutionary algorithms and neural networks for classification problems

  2005cited by this paper
• An introduction to the predictive technique AdaBoost with a comparison to generalized additive models

  2005cited by this paper
• Controlling the diversity in classifier ensembles through a measure of agreement

  2005cited by this paper
• Clustering For Data Mining: A Data Recovery Approach (Chapman & Hall/Crc Computer Science)

  2005cited by this paper
• Classifier selection for majority voting

  2005cited by this paper
• Combining Pattern Classifiers: Methods and Algorithms

  2005cited by this paper
• Combining Pattern Classifiers: Methods and Algorithms

  2004cited by this paper
• A method for quantifying and visualizing the diversity of QSAR models.

  2004cited by this paper
• Diversity measures for multiple classifier system analysis and design

  2004cited by this paper
• Error reduction through learning multiple descriptions

  2004cited by this paper
• Diversity creation methods: a survey and categorisation

  2004cited by this paper
• Using diversity in cluster ensembles

  2004cited by this paper
• An incremental learning algorithm with confidence estimation for automated identification of NDE signals

  2004cited by this paper
• Diversity in neural network ensembles

  2004cited by this paper
• An extended ASLD trading system to enhance portfolio management

  2003cited by this paper
• Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy

  2003influential reference
• An experimental study on diversity for bagging and boosting with linear classifiers

  2002influential reference
• A Theoretical Study on Six Classifier Fusion Strategies

  2002cited by this paper
• Generating classifier outputs of fixed accuracy and diversity

  2002cited by this paper
• Relationships between combination methods and measures of diversity in combining classifiers

  2002influential reference
• Ten measures of diversity in classifier ensembles: limits for two classifiers

  2001influential reference
• Empirical measure of multiclass generalization performance: the K-winner machine case

  2001cited by this paper
• Is independence good for combining classifiers?

  2000cited by this paper
• Linear and Order Statistics Combiners for Pattern Classification

  1999cited by this paper
• The ensemble approach to neural-network learning and generalization

  1999cited by this paper
• Combining Artificial Neural Nets: Ensemble and Modular Multi-Net Systems

  1999influential reference
• Bias/Variance Decompositions for Likelihood-Based Estimators

  1998cited by this paper
• On Combining Classifiers

  1998influential reference
• Dynamically weighted ensemble neural networks for classification

  1998cited by this paper
• Combining diverse neural nets

  1997influential reference
• On Combining Artificial Neural Nets

  1996cited by this paper
• Bias Plus Variance Decomposition for Zero-One Loss Functions

  1996cited by this paper
• Network generalization differences quantified

  1996cited by this paper
• Analysis of decision boundaries in linearly combined neural classifiers

  1996cited by this paper
• Bagging Predictors

  1996cited by this paper
• Neural networks for pattern recognition

  1995influential reference
• Using neural networks in reliability prediction

  1992cited by this paper
• Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence

  1992influential reference
• Neural Network Ensembles

  1990cited by this paper
• Genetic Algorithms for Real Parameter Optimization

  1990cited by this paper
• Hybrid methods in pattern recognition

  1987cited by this paper
• A composite classifier system design: Concepts and methodology

  1979cited by this paper
• This Is a Publication of the American Association for Artificial Intelligence

  year unknowninfluential reference

• No citing papers are available for this paper.