A New Incomplete Pattern Classification Method Based on Evidential Reasoning

No abstract is available for this paper.

• Publication year

  2015

• Venue

  IEEE Transactions on Cybernetics

• Publication date

  2015-04-01

• Fields of study

  Medicine, Computer Science, Mathematics

• Identifiers
  DOI 10.1109/TCYB.2014.2332037PMID 25014989
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Multiple Imputation For Nonresponse In Surveys

  2016cited by this paper
• On the Validity of Dempster's Fusion Rule and its Interpretation as a Generalization of Bayesian Fusion Rule

  2014cited by this paper
• On the consistency of PCR6 with the averaging rule and its application to probability estimation

  2013cited by this paper
• Maximum Likelihood Estimation from Uncertain Data in the Belief Function Framework

  2013cited by this paper
• A new belief-based K-nearest neighbor classification method

  2013cited by this paper
• Belief C-Means: An extension of Fuzzy C-Means algorithm in belief functions framework

  2012cited by this paper
• Classification of incomplete data using classifier ensembles

  2012cited by this paper
• Dynamic evidential reasoning for change detection in remote sensing images

  2012cited by this paper
• Missing data imputation for fuzzy rule-based classification systems

  2012cited by this paper
• On the behavior of Dempster's rule of combination and the foundations of Dempster-Shafer Theory

  2011cited by this paper
• Combination of sources of evidence with different discounting factors based on a new dissimilarity measure

  2011cited by this paper
• Support vector regression of membership functions and belief functions - Application for pattern recognition

  2010cited by this paper
• Pattern classification with missing data: a review

  2010cited by this paper
• ECM: An evidential version of the fuzzy c

  2008cited by this paper
• Impact of imputation of missing values on classification error for discrete data

  2008cited by this paper
• Analyzing the combination of conflicting belief functions

  2007influential reference
• Measuring ambiguity in the evidence theory

  2006cited by this paper
• Classification Using Belief Functions: Relationship Between Case-Based and Model-Based Approaches

  2006cited by this paper
• Classification for Incomplete Data Using Classifier Ensembles

  2005cited by this paper
• Handling missing values in support vector machine classifiers

  2005cited by this paper
• EVCLUS: evidential clustering of proximity data

  2004cited by this paper
• Towards Missing Data Imputation: A Study of Fuzzy K-means Clustering Method

  2004cited by this paper
• Advances and Applications of DSmT for Information Fusion

  2004cited by this paper
• Statistical Analysis With Missing Data (2nd ed.) (Book)

  2004cited by this paper
• A Study of K-Nearest Neighbour as an Imputation Method

  2002cited by this paper
• Self-Organising Map for Data Imputation and Correction in Surveys

  2002cited by this paper
• Statistical Analysis with Missing Data: Little/Statistical Analysis with Missing Data

  2002cited by this paper
• Missing value estimation methods for DNA microarrays

  2001cited by this paper
• Analysis of Incomplete Multivariate Data

  2000cited by this paper
• A neural network classifier based on Dempster-Shafer theory

  2000cited by this paper
• An evidence-theoretic k-NN rule with parameter optimization

  1998cited by this paper
• Imputing Missing Values: The Effect on the Accuracy of Classification

  1998cited by this paper
• Predictive inference : an introduction

  1995cited by this paper
• 8. Predictive Inference: An Introduction

  1995cited by this paper
• A k-nearest neighbor classification rule based on Dempster-Shafer theory

  1995cited by this paper
• A Defect in Dempster-Shafer Theory

  1994cited by this paper
• Supervised learning from incomplete data via an EM approach

  1993cited by this paper
• Neural Networks for Pattern Recognition

  1993cited by this paper
• The validity of Dempster-Shafer belief functions

  1992cited by this paper
• The Combination of Evidence in the Transferable Belief Model

  1990influential reference
• E. Fix and J.L. Hodges (1951): An Important Contribution to Nonparametric Discriminant Analysis and Density Estimation: Commentary on Fix and Hodges (1951)

  1989influential reference
• Statistical Analysis with Missing Data

  1988cited by this paper
• Representation and combination of uncertainty with belief functions and possibility measures

  1988cited by this paper
• Confidence Factors, Empiricism and the Dempster-Shafer Theory of Evidence

  1985cited by this paper
• On the Validity of Dempster''s Rule of Combination of Evidence

  1979cited by this paper
• The Treatment of Missing Values in Discriminant Analysis—I. The Sampling Experiment

  1972cited by this paper
• th International Conference on Information Fusion ( FUSION ) Information Fusion Based on New Proportional Conflict Redistribution Rules

  year unknowncited by this paper

• Mixed-Type Imputation for Missing Data Credal Classification via Quality Matrices

  2024influential citation
• Hybrid imputation-based optimal evidential classification for missing data

  2024influential citation
• Representing uncertainty and imprecision in machine learning: A survey on belief functions

  2024cites this paper
• On the continuous probability distribution attribute weight of belief rule base model

  2024cites this paper
• Evidential Reasoning Rule With Likelihood Analysis and Perturbation Analysis

  2023cites this paper
• Multi-Source HRRP Target Fusion Recognition Based on Time-Step Correlation

  2023cites this paper
• Maritime piracy risk assessment and policy implications: A two-step approach

  2023cites this paper
• Enhanced Fuzzy Clustering for Incomplete Instance with Evidence Combination

  2023influential citation
• Data Imputation for Multivariate Time Series Sensor Data With Large Gaps of Missing Data

  2022cites this paper
• Learning a Credal Classifier With Optimized and Adaptive Multiestimation for Missing Data Imputation

  2022cites this paper
• Painted PIXOR: A Real-Time Multi-Sensor Fusion Object Detection Pipeline for Autonomous Vehicles

  2022cites this paper
• A Belief Two-Level Weighted Clustering Method for Incomplete Pattern Based on Multiview Fusion

  2022cites this paper
• Classifying Incomplete Data with a Mixture of Subspace Experts

  2022cites this paper
• Decision fusion of two sensors object classification based on the evidential reasoning rule

  2022cites this paper
• Image Fusion Based on Evidence Theory for Multi-Energy X-Ray Computed Tomography

  2022cites this paper
• Fuzzy Clustering of Single-View Incomplete Data Using a Multiview Framework

  2022cites this paper
• Classification of incomplete data integrating neural networks and evidential reasoning

  2021influential citation
• A three-way decision approach with risk strategies in hesitant fuzzy decision information systems

  2021cites this paper
• Cross-Domain Pattern Classification With Distribution Adaptation Based on Evidence Theory

  2021cites this paper
• A New Evidential Reasoning Rule Considering Interval Uncertainty and Perturbation

  2021cites this paper
• Fast Unfolding of Credal Partitions in Evidential Clustering

  2021cites this paper
• Combination of classifiers with incomplete frames of discernment

  2021cites this paper
• Performance evaluation of aerospace relay based on evidential reasoning rule with distributed referential points

  2021cites this paper
• Semi-supervised Learning with Missing Values Imputation

  2021cites this paper
• Evidence integration credal classification algorithm versus missing data distributions

  2021influential citation
• Granular Fuzzy Rule-Based Modeling With Incomplete Data Representation

  2021cites this paper
• Spatiotemporal Memories for Missing Samples Reconstruction

  2021cites this paper
• Partial classification in the belief function framework

  2021cites this paper
• A Transfer Classification Method for Heterogeneous Data Based on Evidence Theory

  2021cites this paper
• Hidden behavior prediction of complex system based on time-delay belief rule base forecasting model

  2020cites this paper
• Virtual linguistic trust degree-based evidential reasoning approach and its application to emergency response assessment of railway station

  2020cites this paper
• Pattern Classification Based on RBF Networks with Self-Constructing Clustering and Hybrid Learning

  2020cites this paper
• Credal Transfer Learning With Multi-Estimation for Missing Data

  2020influential citation
• A new incomplete pattern belief classification method with multiple estimations based on KNN

  2020cites this paper
• Disagreement based semi-supervised learning approaches with belief functions

  2020cites this paper
• Multiple criteria group decision making based on group satisfaction

  2020cites this paper
• Evidence Combination Based on Credal Belief Redistribution for Pattern Classification

  2020cites this paper
• Similarity-learning information-fusion schemes for missing data imputation

  2020cites this paper
• Modelling Interactions between Nodes in a Credibilist Social Network. (Modélisation des Interactions entre les Nœuds dans un Réseau Social Crédibiliste)

  2019cites this paper
• A new pattern classification improvement method with local quality matrix based on K-NN

  2019cites this paper
• Selecting strategic partner for tax information systems based on weight learning with belief structures

  2019cites this paper
• Enhanced Classification of Incomplete Pattern Using Fuzzy Systems

  2019cites this paper
• Classification of Incomplete Data Using Autoencoder and Evidential Reasoning

  2019cites this paper
• Enhanced Classification of Incomplete Pattern Using Hierarchical Clustering

  2019cites this paper
• Enhancing data analysis: uncertainty-resistance method for handling incomplete data

  2019cites this paper
• A status assessment model for dynamic system based on cloud evidence reasoning

  2019cites this paper
• DSmT-Based Group DEMATEL Method with Reaching Consensus

  2019cites this paper
• Pattern Classification in Heterogeneous Domains Based on Evidence Theory (Poster)

  2019cites this paper
• A New Belief-based Classification Fusion for Incomplete Data

  2019cites this paper
• Improved Classification of Incomplete Pattern Using Hierarchical Clustering

  2018cites this paper
• Identification of uncertainty and decision boundary for SVM classification training using belief function

  2018cites this paper
• Classification of Incomplete Data Based on Evidence Theory and an Extreme Learning Machine in Wireless Sensor Networks

  2018cites this paper
• An evidential method for correcting noisy information in social network

  2018cites this paper
• Classification of Incomplete Pattern Using Hierarchical Clustering

  2018cites this paper
• A Literature Study of Various Classification Techniques for Rough ascription of Missing Values

  2018cites this paper
• Combination of Classifiers With Optimal Weight Based on Evidential Reasoning

  2018cites this paper
• Adaptive Missing Data Imputation with Incremental Neuro-Fuzzy Gaussian Mixture Network (INFGMN)

  2018cites this paper
• Classifier Fusion With Contextual Reliability Evaluation

  2018cites this paper
• Hybrid Classification System for Uncertain Data

  2017cites this paper
• A Survey on Different Classification for Method Incomplete Pattern

  2017cites this paper
• Novel iterative approach using generative and discriminative models for classification with missing features

  2017cites this paper
• Learning With Label Proportions via NPSVM

  2017cites this paper
• Geospatial Modeling Using Dempster–Shafer Theory

  2017cites this paper
• Fish Image Reorganization Construction using Unsupervised Learning Performance

  2017cites this paper
• Implementation of Prototype Based Credal Classification approach For Enhanced Classification of Incomplete Pattern

  2017cites this paper
• Implementation of Hierarchical Clustering for Improved Classification of Incomplete Pattern

  2017cites this paper
• Information fusion and decision-making using belief functions : application to therapeutic monitoring of cancer. (Fusion de l'information et prise de décisions à l'aide des fonctions de croyance : application au suivi thérapeutique du cancer)

  2017cites this paper
• Evidence updating based on novel Jeffrey-like conditioning rules

  2017cites this paper
• Uncertain data classification based on the fusion of local and global information

  2017cites this paper
• Pattern classification based on the combination of the selected sources of evidence

  2017cites this paper
• Representing Belief Functions as Random Variables

  2017cites this paper
• Fuzzy evidential influence diagram and its evaluation algorithm

  2017cites this paper
• The Costs of Indeterminacy: How to Determine Them?

  2017cites this paper
• An Evidence Fusion Method with Importance Discounting Factors Based on Neutrosophic Probability Analysis in DSmT Framework

  2017cites this paper
• The Costs of Indeterminacy: How to Determine Them?

  2016cites this paper
• Joint Feature Transformation and Selection Based on Dempster-Shafer Theory

  2016cites this paper
• The Belief Noisy-OR Model Applied to Network Reliability Analysis

  2016cites this paper
• Belief Reliability Analysis and Its Application

  2016cites this paper
• Fuzzy Evidential Influence Diagram Evaluation Algorithm

  2016cites this paper
• Survey on Pattern Classification with incomplete values

  2016cites this paper
• ECMdd: Evidential c-medoids clustering with multiple prototypes

  2016cites this paper
• Adaptive imputation of missing values for incomplete pattern classification

  2016cites this paper
• Classifier fusion based on cautious discounting of beliefs

  2016cites this paper
• Evidential Label Propagation Algorithm for Graphs

  2016cites this paper
• Dissimilarity Metric Learning in the Belief Function Framework

  2016cites this paper
• Improve performance for IEEE 802.15.4 protocol in healthcare environment

  2016cites this paper
• A Feature Learning and Object Recognition Framework for Underwater Fish Images

  2016cites this paper
• A New Fuzzy-Evidential Controller for Stabilization of the Planar Inverted Pendulum System

  2016cites this paper
• An evidence clustering DSmT approximate reasoning method for more than two sources

  2016cites this paper
• A new non-specificity measure in evidence theory based on belief intervals

  2016cites this paper
• Survey on Privacy Preservation for Multi-Keyword Search on Data Network

  2016cites this paper
• An evidence clustering DSmT approximate reasoning method based on convex functions analysis

  2015cites this paper
• Evidence Combination From an Evolutionary Game Theory Perspective

  2015cites this paper
• Classification of incomplete patterns based on the fusion of belief functions

  2015influential citation
• Classification of incomplete data based on belief functions and K-nearest neighbors

  2015cites this paper
• A Method for Interval Multi-attribute Decision Making Based on Evidential Reasoning and Third-Generation Prospect Theory

  2015cites this paper