Neural networks and open texture
ICAIL '93 Proceedings of the 4th international conference on Artificial intelligence and law
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Machine Learning
Hybrid Classifiers for Financial Multicriteria Decision Making: TheCase of Bankruptcy Prediction
Computational Economics
MultiBoosting: A Technique for Combining Boosting and Wagging
Machine Learning
Collaborative multiagent learning for classification tasks
Proceedings of the fifth international conference on Autonomous agents
Dynamic Coalition Formation among Rational Agents
IEEE Intelligent Systems
A Comparison Between Single-agent and Multi-agent Classification of Documents
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
Adaptive Agents in Argumentation-Based Negotiation
Proceedings of the 9th ECCAI-ACAI/EASSS 2001, AEMAS 2001, HoloMAS 2001 on Multi-Agent-Systems and Applications II-Selected Revised Papers
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources
Emergent Neural Computational Architectures Based on Neuroscience - Towards Neuroscience-Inspired Computing
Ensemble Methods in Machine Learning
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
Multi-agent Technology for Distributed Data Mining and Classification
IAT '03 Proceedings of the IEEE/WIC International Conference on Intelligent Agent Technology
Classi.cation of Examples by Multiple Agents with Private Features
IAT '05 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology
A survey of multi-agent organizational paradigms
The Knowledge Engineering Review
Obtaining Best Parameter Values for Accurate Classification
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Distributed Data Mining in Peer-to-Peer Networks
IEEE Internet Computing
Argument based machine learning applied to law
Artificial Intelligence and Law - Argumentation in artificial intelligence and law
Argumentation in artificial intelligence
Artificial Intelligence
The class imbalance problem: A systematic study
Intelligent Data Analysis
Credit risk assessment with a multistage neural network ensemble learning approach
Expert Systems with Applications: An International Journal
Data Structure for Association Rule Mining: T-Trees and P-Trees
IEEE Transactions on Knowledge and Data Engineering
Evaluation Methods for Ordinal Classification
Canadian AI '09 Proceedings of the 22nd Canadian Conference on Artificial Intelligence: Advances in Artificial Intelligence
EMADS: An extendible multi-agent data miner
Knowledge-Based Systems
Constructing diverse classifier ensembles using artificial training examples
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
The WEKA data mining software: an update
ACM SIGKDD Explorations Newsletter
Improving the performance of the RBF neural networks trained with imbalanced samples
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
Collaborative learning agents supporting service network management
SOCASE'08 Proceedings of the 2008 AAMAS international conference on Service-oriented computing: agents, semantics, and engineering
Co-argumentation artifact for agent societies
ArgMAS'07 Proceedings of the 4th international conference on Argumentation in multi-agent systems
An argumentation-based framework for deliberation in multi-agent systems
ArgMAS'07 Proceedings of the 4th international conference on Argumentation in multi-agent systems
MALEF: Framework for distributed machine learning and data mining
International Journal of Intelligent Information and Database Systems
Proceedings of the 2010 conference on Computational Models of Argument: Proceedings of COMMA 2010
Integrating workflow into agent-based distributed data mining systems
ADMI'10 Proceedings of the 6th international conference on Agents and data mining interaction
Multi-agent information retrieval in heterogeneous industrial automation environments
ADMI'10 Proceedings of the 6th international conference on Agents and data mining interaction
Dynamic team forming in self-interested multi-agent systems
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
Evaluating the Valuable Rules from Different Experience Using Multiparty Argument Games
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
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An approach to classification using a multi-agent system founded on an Argumentation from Experience paradigm is proposed. The technique is based on the idea that classification can be conducted as a process whereby a group of agents "argue" about the classification of a given case according to their experience as recorded in individual local data sets. The paper describes mechanisms whereby this can be achieved, which have been realised in the PISA framework. The framework allows both the possibility of agents operating in groups (coalitions) and migrating between groups. The proposed multi-agent classification using the Argumentation from Experience paradigm has been used to address standard, ordinal and unbalanced classification problems with good results. A full evaluation, in the context of these applications, is presented.