UB Paderborn / Katalog / Suche / in CDI

Autonomously reviewing and validating the knowledge base of a never-ending learning system

Proceedings of the 22nd International Conference on World Wide Web, 2013, p.1195-1204

2013

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Evolutionary Algorithm Using Random Multi-point Crossover Operator for Learning Bayesian Network Structures

2010 Ninth International Conference on Machine Learning and Applications, 2010, p.430-435

2010

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Bayesian Networks for Identifying Semantic Relations in a Never-Ending Learning System

Intelligent Systems Design and Applications, 2017, Vol.557, p.279-288

2017

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Feature-weighted k-Nearest Neighbor Classifier

2007 IEEE Symposium on Foundations of Computational Intelligence, 2007, p.481-486

2007

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Combining Classification and Clustering for Tweet Sentiment Analysis

2014 Brazilian Conference on Intelligent Systems, 2014, p.210-215

2014

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A Distance-Based Mutation Operator for learning Bayesian Network structures using Evolutionary Algorithms

IEEE Congress on Evolutionary Computation, 2010, p.1-8

2010

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Transferring neural network based knowledge into an exemplar-based learner: Hybrid artificial neural networks

Neural computing & applications, 2007, Vol.16 (3), p.257-265

2007

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Transferring neural network based knowledge into an exemplar-based learner

Neural computing & applications, 2007-05, Vol.16 (3), p.257-265

2007

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Bayesian Networks for Inference and Discovery of Semantic Relations in a Never-Ending Learning System

2019 8th Brazilian Conference on Intelligent Systems (BRACIS), 2019, p.687-692

2019

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A feature selection bayesian approach for extracting classification rules with a clustering genetic algorithm

Applied artificial intelligence, 2003-05, Vol.17 (5-6), p.489-506

2003

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Exploring two views of coreference resolution in a never-ending learning system

2014 14th International Conference on Hybrid Intelligent Systems, 2014, p.273-278

2014

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Finding Inference Rules Using Graph Mining in Ontological Knowledge Bases

2016 5th Brazilian Conference on Intelligent Systems (BRACIS), 2016, p.349-354

2016

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Two Variants of the Constructive Neural Network Tiling Algorithm

2006 Sixth International Conference on Hybrid Intelligent Systems (HIS'06), 2006, p.49-49

2006

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A Comparative Evaluation of Constructive Neural Networks Methods using PRM and BCP as TLU Training Algorithms

2006 IEEE International Conference on Systems, Man and Cybernetics, 2006, Vol.4, p.3497-3502

2006

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Collective intelligence as a source for machine learning self-supervision

Proceedings of the 4th International Workshop on Web Intelligence & Communities, 2012, p.1-9

2012

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Intelligent Classification System Using a Pruned Bayes Fuzzy Rule Set

2010 Ninth International Conference on Machine Learning and Applications, 2010, p.635-640

2010

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Learning Bayesian Network structures using Multiple Offspring Sampling

2011 11th International Conference on Intelligent Systems Design and Applications, 2011, p.362-367

2011

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The Impact of Pruning BayesFuzzy Rule Set

2009 Ninth International Conference on Intelligent Systems Design and Applications, 2009, p.456-461

2009

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Biomass Based Weed-Crop Competitiveness Classification Using Bayesian Networks

Seventh International Conference on Intelligent Systems Design and Applications (ISDA 2007), 2007, p.121-126

2007

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Feature selection for clustering problems: a hybrid algorithm that iterates between k-means and a Bayesian filter

Fifth International Conference on Hybrid Intelligent Systems (HIS'05), 2005, p.6 pp.

2005

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Variable Ordering in the Conditional Independence Bayesian Classifier Induction Process: An Evolutionary Approach

7th International Conference on Hybrid Intelligent Systems (HIS 2007), 2007, p.204-209

2007

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C-Focus-3: a C-Focus with a New Heuristic Search Strategy

Seventh International Conference on Intelligent Systems Design and Applications (ISDA 2007), 2007, p.479-484

2007

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Fuzzy Rule Base Generation through Genetic Algorithms and Bayesian Classifiers A Comparative Approach

Seventh International Conference on Intelligent Systems Design and Applications (ISDA 2007), 2007, p.315-322

2007

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BayesFuzzy: using a Bayesian Classifier to Induce a Fuzzy Rule Base

2007 IEEE International Fuzzy Systems Conference, 2007, p.1-6

2007

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WNB: A Weighted Naïve Bayesian Classifier

Seventh International Conference on Intelligent Systems Design and Applications (ISDA 2007), 2007, p.138-142

2007

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Autonomously reviewing and validating the knowledge base of a never-ending learning system

Evolutionary Algorithm Using Random Multi-point Crossover Operator for Learning Bayesian Network Structures

Bayesian Networks for Identifying Semantic Relations in a Never-Ending Learning System

Feature-weighted k-Nearest Neighbor Classifier

Combining Classification and Clustering for Tweet Sentiment Analysis

A Distance-Based Mutation Operator for learning Bayesian Network structures using Evolutionary Algorithms

Transferring neural network based knowledge into an exemplar-based learner: Hybrid artificial neural networks

Transferring neural network based knowledge into an exemplar-based learner

Bayesian Networks for Inference and Discovery of Semantic Relations in a Never-Ending Learning System

A feature selection bayesian approach for extracting classification rules with a clustering genetic algorithm

Exploring two views of coreference resolution in a never-ending learning system

Finding Inference Rules Using Graph Mining in Ontological Knowledge Bases

Two Variants of the Constructive Neural Network Tiling Algorithm

A Comparative Evaluation of Constructive Neural Networks Methods using PRM and BCP as TLU Training Algorithms

Collective intelligence as a source for machine learning self-supervision

Intelligent Classification System Using a Pruned Bayes Fuzzy Rule Set

Learning Bayesian Network structures using Multiple Offspring Sampling

The Impact of Pruning BayesFuzzy Rule Set

Biomass Based Weed-Crop Competitiveness Classification Using Bayesian Networks

Feature selection for clustering problems: a hybrid algorithm that iterates between k-means and a Bayesian filter

Variable Ordering in the Conditional Independence Bayesian Classifier Induction Process: An Evolutionary Approach

C-Focus-3: a C-Focus with a New Heuristic Search Strategy

Fuzzy Rule Base Generation through Genetic Algorithms and Bayesian Classifiers A Comparative Approach

BayesFuzzy: using a Bayesian Classifier to Induce a Fuzzy Rule Base

WNB: A Weighted Naïve Bayesian Classifier

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