Artículos relacionados a Agent and Multi-Agent Systems: Technologies and Applications...

Agent and Multi-Agent Systems: Technologies and Applications: 4th KES International Symposium, KES-AMSTA 2010, Gdynia, Poland, June 23-25, 2010. ... (Lecture Notes in Artificial Intelligence) - Tapa blanda

 
9783642135408: Agent and Multi-Agent Systems: Technologies and Applications: 4th KES International Symposium, KES-AMSTA 2010, Gdynia, Poland, June 23-25, 2010. ... (Lecture Notes in Artificial Intelligence)

Sinopsis

Presented experiments show that usage ofevolutionary approach to feature - duction is justi?ed.Feature selection as well as construction gives goodresults. It is noticeable that attribute construction's best results assign higher classi?- tion accuracy than feature selection alone.That is why, carrying out selection before construction to decrease searchingspace isagoodsolution. Because of indeterministicbehavior of neuralnetworks,it was di?cultto - ducefeaturesetincaseofusingthemto evaluatecandidateresults.Forexample, aneuralnetworklearntverywellondatathatwasdescribedbyfullattributeset, but when thisset was decreased it had huge problems to do this duringrequired number ofepochs.That suggests that usingC4.5 ismuchmore preferred. Numerous experiments havebeen performed and observed.Analysis ofabove results allowsto put the hypothesisthat it is worth to use Construction module as the feature set reduction. But experiments show that Constructormodule does not work sowell whenitusesthe whole initial set offeatures - the search space istoo large.Soit is worth to use ?rstly Selectorand nextConstructor. The second important issue isthatConstructor destructs the semanticmeaning of the features.New constructed features are notunderstandableforusers.In some real-liveproblems measuring offeature values isquite expensive, forsuch problems selector seems to be more suitable because itdiminishes a number of realfeatures.To constructonefeaturesa number ofreal(measured)featurescan be required. Obtainedresults haveencouragedus to extendour system,especiallythe c- structormodule.Weplan to developenlarged set offunctionsFwhich allowsto use the system with data containingdi?erenttype offeatures,not only nume- cal. Such system will be veri?ed usingagreater number ofbenchmark data sets as well as real data. Acknowledgments. This work ispartially ?nanced fromthe Ministryof S- ence and Higher Education Republic of Polandresources in 2008-2010 years as a Poland-Singapore joint research project 65/N-SINGAPORE/2007/0.

"Sinopsis" puede pertenecer a otra edición de este libro.

Reseña del editor

Presented experiments show that usage ofevolutionary approach to feature - duction is justi?ed.Feature selection as well as construction gives goodresults. It is noticeable that attribute construction's best results assign higher classi?- tion accuracy than feature selection alone.That is why, carrying out selection before construction to decrease searchingspace isagoodsolution. Because of indeterministicbehavior of neuralnetworks,it was di?cultto - ducefeaturesetincaseofusingthemto evaluatecandidateresults.Forexample, aneuralnetworklearntverywellondatathatwasdescribedbyfullattributeset, but when thisset was decreased it had huge problems to do this duringrequired number ofepochs.That suggests that usingC4.5 ismuchmore preferred. Numerous experiments havebeen performed and observed.Analysis ofabove results allowsto put the hypothesisthat it is worth to use Construction module as the feature set reduction. But experiments show that Constructormodule does not work sowell whenitusesthe whole initial set offeatures - the search space istoo large.Soit is worth to use ?rstly Selectorand nextConstructor. The second important issue isthatConstructor destructs the semanticmeaning of the features.New constructed features are notunderstandableforusers.In some real-liveproblems measuring offeature values isquite expensive, forsuch problems selector seems to be more suitable because itdiminishes a number of realfeatures.To constructonefeaturesa number ofreal(measured)featurescan be required. Obtainedresults haveencouragedus to extendour system,especiallythe c- structormodule.Weplan to developenlarged set offunctionsFwhich allowsto use the system with data containingdi?erenttype offeatures,not only nume- cal. Such system will be veri?ed usingagreater number ofbenchmark data sets as well as real data. Acknowledgments. This work ispartially ?nanced fromthe Ministryof S- ence and Higher Education Republic of Polandresources in 2008-2010 years as a Poland-Singapore joint research project 65/N-SINGAPORE/2007/0.

Reseña del editor

This book constitutes the proceedings of the 4th KES International Symposium on Agent and Multi-Agent Systems, KES-AMSTA 2010, held in June 2010 in Gdynia, Poland. The discussed field is concerned with the development and analysis of AI-based problem-solving and control architectures for both single-agent and multiple-agent systems. Only 83 papers were selected for publication in both volumes and focus on topics such as: Multi-Agent Systems Design and Implementation, Negotiations and Social Issues, Web Services and Semantic Web, Cooperation, Coordination and Teamwork, Agent-Based Modeling, Simulation and Decision Making, Multi-Agent Applications, Management and e-Business, Mobile Agents and Robots, and Machine Learning.

"Sobre este título" puede pertenecer a otra edición de este libro.

Comprar usado

Condición: Excelente
Zustand: Sehr gut | Seiten: 443...
Ver este artículo

EUR 14,90 gastos de envío desde Alemania a España

Destinos, gastos y plazos de envío

Comprar nuevo

Ver este artículo

EUR 19,49 gastos de envío desde Alemania a España

Destinos, gastos y plazos de envío

Otras ediciones populares con el mismo título

9783642135422: Agent and Multi-Agent Systems: Technologies and Applications : 4th KES International Symposium, KES-AMSTA 2010, Gdynia, Poland, June 23-25, 2010. Proceedings, Part II

Edición Destacada

ISBN 10:  3642135420 ISBN 13:  9783642135422
Editorial: Springer, 2011
Tapa blanda

Resultados de la búsqueda para Agent and Multi-Agent Systems: Technologies and Applications...

Imagen de archivo

Unbekannt
Publicado por Springer-Verlag GmbH, 2010
ISBN 10: 3642135404 ISBN 13: 9783642135408
Antiguo o usado Tapa blanda

Librería: Buchpark, Trebbin, Alemania

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Condición: Sehr gut. Zustand: Sehr gut | Seiten: 443 | Sprache: Englisch | Produktart: Bücher. Nº de ref. del artículo: 7839595/12

Contactar al vendedor

Comprar usado

EUR 59,79
Convertir moneda
Gastos de envío: EUR 14,90
De Alemania a España
Destinos, gastos y plazos de envío

Cantidad disponible: 1 disponibles

Añadir al carrito

Imagen del vendedor

Jedrzejowicz, Piotr|Nguyen, Ngoc Thanh|Howlett, Robert J.|Jain, Lakhmi C.
Publicado por Springer Berlin Heidelberg, 2010
ISBN 10: 3642135404 ISBN 13: 9783642135408
Nuevo Tapa blanda

Librería: moluna, Greven, Alemania

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Condición: New. Nice bookWell doneGood to haveManagement and e-Business.- Agent-Based Decision Making in the Electronic Marketplace: Interactive Negotiation.- Modeling and Verifying Business Interactions via Commitments and Dialogue Actions.- Personalized Support for M. Nº de ref. del artículo: 5050224

Contactar al vendedor

Comprar nuevo

EUR 64,08
Convertir moneda
Gastos de envío: EUR 19,49
De Alemania a España
Destinos, gastos y plazos de envío

Cantidad disponible: 3 disponibles

Añadir al carrito

Imagen de archivo

Jedrzejowicz, P. (Editor)/ Nguyen, N. T. (Editor)/ Howlet, R. J. (Editor)/ Jain, L. C. (Editor)
Publicado por Springer-Verlag New York Inc, 2010
ISBN 10: 3642135404 ISBN 13: 9783642135408
Nuevo Paperback

Librería: Revaluation Books, Exeter, Reino Unido

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Paperback. Condición: Brand New. 443 pages. 9.25x6.25x1.00 inches. In Stock. Nº de ref. del artículo: x-3642135404

Contactar al vendedor

Comprar nuevo

EUR 80,36
Convertir moneda
Gastos de envío: EUR 11,57
De Reino Unido a España
Destinos, gastos y plazos de envío

Cantidad disponible: 2 disponibles

Añadir al carrito

Imagen de archivo

Piotr Jedrzejowicz
ISBN 10: 3642135404 ISBN 13: 9783642135408
Nuevo Paperback

Librería: Grand Eagle Retail, Mason, OH, Estados Unidos de America

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Paperback. Condición: new. Paperback. Presented experiments show that usage ofevolutionary approach to feature - duction is justi?ed.Feature selection as well as construction gives goodresults. It is noticeable that attribute construction's best results assign higher classi?- tion accuracy than feature selection alone.That is why, carrying out selection before construction to decrease searchingspace isagoodsolution. Because of indeterministicbehavior of neuralnetworks,it was di?cultto - ducefeaturesetincaseofusingthemto evaluatecandidateresults.Forexample, aneuralnetworklearntverywellondatathatwasdescribedbyfullattribut eset, but when thisset was decreased it had huge problems to do this duringrequired number ofepochs.That suggests that usingC4.5 ismuchmore preferred. Numerous experiments havebeen performed and observed.Analysis ofabove results allowsto put the hypothesisthat it is worth to use Construction module as the feature set reduction. But experiments show that Constructormodule does not work sowell whenitusesthe whole initial set offeatures - the search space istoo large.Soit is worth to use ?rstly Selectorand nextConstructor.The second important issue isthatConstructor destructs the semanticmeaning of the features.New constructed features are notunderstandableforusers.In some real-liveproblems measuring offeature values isquite expensive, forsuch problems selector seems to be more suitable because itdiminishes a number of realfeatures.To constructonefeaturesa number ofreal(measured)featurescan be required. Obtainedresults haveencouragedus to extendour system,especiallythe c- structormodule.Weplan to developenlarged set offunctionsFwhich allowsto use the system with data containingdi?erenttype offeatures,not only nume- cal. Such system will be veri?ed usingagreater number ofbenchmark data sets as well as real data. Acknowledgments. This work ispartially ?nanced fromthe Ministryof S- ence and Higher Education Republic of Polandresources in 2008-2010 years as a Poland-Singapore joint research project 65/N-SINGAPORE/2007/0. Constitutes the proceedings of the 4th KES International Symposium on Agent and Multi-Agent Systems, KES-AMSTA 2010, held in June 2010 in Gdynia, Poland. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9783642135408

Contactar al vendedor

Comprar nuevo

EUR 64,94
Convertir moneda
Gastos de envío: EUR 64,15
De Estados Unidos de America a España
Destinos, gastos y plazos de envío

Cantidad disponible: 1 disponibles

Añadir al carrito