WorldCat Identities

Brazdil, Pavel B. 1945-

Overview
Works: 34 works in 138 publications in 2 languages and 1,715 library holdings
Genres: Conference papers and proceedings 
Roles: Author, Editor, Other, Opponent
Publication Timeline
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Most widely held works by Pavel B Brazdil
Machine learning, ECML-93 : European Conference on Machine Learning, Vienna, Australia, April 5-7, 1993 : proceedings by Pavel B Brazdil( Book )

20 editions published between 1993 and 2003 in English and held by 301 WorldCat member libraries worldwide

"This volume contains the proceedings of the Eurpoean Conference on Machine Learning (ECML-93), continuing the tradition of the five earlier EWSLs (European Working Sessions on Learning). The aim of these conferences is to provide a platform for presenting the latest results in the area of machine learning. The ECML-93 programme included invited talks, selected papers, and the presentation of ongoing work in poster sessions. The programme was completed by several workshops on specific topics. The volume contains papers related to all these activities. The first chapter of the proceedings contains two invited papers, one by Ross Quinlan and one by Stephen Muggleton on inductive logic programming. The second chapter contains 18 scientific papers accepted for the main sessions of the conference. The third chapter contains 18 shorter position papers. The final chapter includes three overview papers related to the ECML-93 workshops."--PUBLISHER'S WEBSITE
Progress in artificial intelligence : knowledge extraction, multi-agent systems, logic programming, and constraint solving : 10th Portuguese Conference on Artificial Intelligence, EPIA 2001, Porto, Portugal, December 17-20, 2001 : proceedings by Pavel B Brazdil( Book )

19 editions published between 2001 and 2002 in English and held by 233 WorldCat member libraries worldwide

The tenth Portuguese Conference on Arti?cial Intelligence, EPIA 2001 was held in Porto and continued the tradition of previous conferences in the series. It returned to the city in which the ?rst conference took place, about 15 years ago. The conference was organized, as usual, under the auspices of the Portuguese Association for Arti?cial Intelligence (APPIA, http://www.appia.pt). EPIA maintained its international character and continued to provide a forum for p- senting and discussing researc h on di?erent aspects of Arti?cial Intelligence. To promote motivated discussions among participants, this conference streng- ened the role of the thematic workshops. These were not just satellite events, but rather formed an integral part of the conference, with joint sessions when justi?ed. This had the advantage that the work was presented to a motivated audience. This was the ?rst time that EPIA embarked on this experience and so provided us with additional challenges
Machine learning, meta-reasoning, and logics by Pavel B Brazdil( Book )

17 editions published between 1989 and 1990 in English and held by 188 WorldCat member libraries worldwide

This book contains a selection of papers presented at the International Workshop Machine Learning, Meta-Reasoning and Logics held in Hotel de Mar in Sesimbra, Portugal, 15-17 February 1988. All the papers were edited afterwards. The Workshop encompassed several fields of Artificial Intelligence: Machine Learning, Belief Revision, Meta-Reasoning and Logics. The objective of this Workshop was not only to address the common issues in these areas, but also to examine how to elaborate cognitive architectures for systems capable of learning from experience, revising their beliefs and reasoning about what they know. Acknowledgements The editing of this book has been supported by COST-13 Project Machine Learning and Knowledge Acquisition funded by the Commission o/the European Communities which has covered a substantial part of the costs. Other sponsors who have supported this work were Junta Nacional de lnvestiga~ao Cientlfica (JNICT), lnstituto Nacional de lnvestiga~ao Cientlfica (INIC), Funda~ao Calouste Gulbenkian. I wish to express my gratitude to all these institutions. Finally my special thanks to Paula Pereira and AnaN ogueira for their help in preparing this volume. This work included retyping all the texts and preparing the camera-ready copy. Introduction 1 1. Meta-Reasoning and Machine Learning The first chapter is concerned with the role meta-reasoning plays in intelligent systems capable of learning. As we can see from the papers that appear in this chapter, there are basically two different schools of thought
Metalearning : applications to data mining by Pavel B Brazdil( Book )

23 editions published between 2004 and 2010 in English and Undetermined and held by 113 WorldCat member libraries worldwide

"Metalearning is the study of principled methods that exploit metaknowledge to obtain efficient models and solutions by adapting machine learning and data mining processes. While the variety of machine learning and data mining techniques now available can, in principle, provide good model solutions, a methodology is still needed to guide the search for the most appropriate model in an efficient way. Metalearning provides one such methodology that allows systems to become more effective through experience." "This book discusses several approaches to obtaining knowledge concerning the performance of machine learning and data mining algorithms. It shows how this knowledge can be reused to select, combine, compose and adapt both algorithms and models to yield faster, more effective solutions to data mining problems. It can thus help developers improve their algorithms and also develop learning systems that can improve themselves." "The book will be of interest to researchers and graduate students in the areas of machine learning, data mining and artificial intelligence."--Jacket
Knowledge discovery in databases -- PKDD 2005 : 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, Porto, Portugal, October 3-7, 2005 : proceedings by Pavel B Brazdil( Book )

10 editions published in 2005 in English and Undetermined and held by 25 WorldCat member libraries worldwide

The European Conference on Machine Learning (ECML) and the European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD) were jointly organized this year for the?fth time in a row, after some years of mutual independence before. After Freiburg (2001), Helsinki (2002), Cavtat (2003) and Pisa (2004), Porto received the 16th edition of ECML and the 9th PKDD in October 3-7. Having the two conferences together seems to be working well: 585 di?erent paper submissions were received for both events, which maintains the high s- mission standard of last year. Of these, 335 were submitted to ECML only, 220 to PKDD only and 30 to both. Such a high volume of scienti?c work required a tremendous e?ort from Area Chairs, Program Committee members and some additional reviewers. On average, PC members had 10 papers to evaluate, and Area Chairs had 25 papers to decide upon. We managed to have 3 highly qua-?edindependentreviewsperpaper(withveryfewexceptions)andoneadditional overall input from one of the Area Chairs. After the authors' responses and the online discussions for many of the papers, we arrived at the?nal selection of 40 regular papers for ECML and 35 for PKDD. Besides these, 32 others were accepted as short papers for ECML and 35 for PKDD. This represents a joint acceptance rate of around 13% for regular papers and 25% overall. We thank all involved for all the e?ort with reviewing and selection of papers. Besidesthecoretechnicalprogram, ECMLandPKDDhad6invitedspeakers, 10 workshops, 8 tutorials and a Knowledge Discovery Challenge
Discovery science : 12th international conference, DS 2009, Porto, Portugal, October 3 - 5, 2009 ; proceedings( )

3 editions published in 2009 in English and held by 21 WorldCat member libraries worldwide

We are pleased to present the proceedings of the 12th International Conference on Discovery Science (DS 2009), held in Porto, Portugal, October 3-5, 2009. DS 2009 was collocated with ALT 2009, the 20th International Conference on AlgorithmicLearningTheory,continuingthesuccessfulDSconferenceseries. DS 2009 provided an open forum for intensive discussions and the exchange of new ideas among researchers working in the area of discovery science. The scope of the conference included the development and analysis of methods for automatic scienti?c knowledge discovery, machine learning, intelligent data analysis, and theory of learning, as well as their applications. We were honored to have a very strong program. Acceptance for the conference proceedings was very compe- tive. There were 92 papers submitted, with the authors coming from roughly 20 di?erent countries. All paperswere reviewedby three senior researchersfollowed by an extensive discussion. The program committee decided to accept 23 long papers (an acceptance rate of 25%) and 12 regular papers. The overall acc- tance rate was 38%. The contributed papers cover a wide range of topics, from discovery in general to data mining in particular. In addition to the technicalpapers, we weredelighted to have?ve prestigious invited speakers and two tutorials. Fernando Pereira, University of Penns- vania, USA, presented new fundamental questions that should be investigated in natural language processing in web mining. Hector Ge?ner, from Pompeu Fabra University, Spain, discussed learning methods for solving complete pl- ning domains
Machine learning--ECML 2005 : 16th European Conference on Machine Learning, Porto, Portugal, October 3-7, 2005 : proceedings by Pavel B Brazdil( Book )

6 editions published in 2005 in English and held by 7 WorldCat member libraries worldwide

This book constitutes the refereed proceedings of the 16th European Conference on Machine Learning, ECML 2005, jointly held with PKDD 2005 in Porto, Portugal, in October 2005. The 40 revised full papers and 32 revised short papers presented together with abstracts of 6 invited talks were carefully reviewed and selected from 335 papers submitted to ECML and 30 papers submitted to both, ECML and PKDD. The papers present a wealth of new results in the area and address all current issues in machine learning
A model for error detection and correction by Pavel B Brazdil( )

4 editions published in 1981 in English and held by 5 WorldCat member libraries worldwide

Artificial intelligence techniques : (AIT '95) : the 2nd international workshop, Brno, September 18-20, 1995 by International Workshop on Artificial Intelligence Techniques( Book )

3 editions published in 1995 in English and held by 5 WorldCat member libraries worldwide

Discovery science : 12th international conference, DS 2009, Porto, Portugal, October 3-5, 2009 : proceedings by João Gama( Book )

7 editions published in 2009 in English and Undetermined and held by 3 WorldCat member libraries worldwide

Annotation
Proceedigs of the PlanLearn-08, Second Planning to Learn Workshop(PlanLearn) at the ICML/COLT/UAI 2008, July 9, 2008, Helsinki, Finland by ICML/COLT/UAI( Book )

1 edition published in 2008 in English and held by 2 WorldCat member libraries worldwide

Machine learning : ECML-93 : European Conference on Machine Learning, Vienna, Austria ... 1993 : proceedings by European Conference on Machine Learning( )

1 edition published in 1993 in English and held by 2 WorldCat member libraries worldwide

Proceedings by International Workshop on Multistrategy Learning( Book )

1 edition published in 2000 in English and held by 2 WorldCat member libraries worldwide

AGAPE et CHARADE : deux techniques d'apprentissage symbolique appliquées à la construction de bases de connaissances by Jean-Gabriel Ganascia( )

1 edition published in 1987 in French and held by 2 WorldCat member libraries worldwide

Centrée principalement sur l'apprentissage symbolique par détection de corrélations empiriques, cette thèse aborde deux questions: la généralisation de descriptions et la construction de systèmes de règles. La généralisation et la discrimination sont les deux opérations majeures qui pilotent la détection des régularités. Nous montons ici comment un mécanisme général, l'appariement structurel, permet de simuler ces deux opérations tout en intégrant la sémantique de l'univers d'apprentissage. Une fois l'appariement structurel obtenu, les descriptions se ramènent à une conjonction de triplets (<Attribut> <Sélecteur> <Valeur>). Dans ce cadre on est capable d'engendrer des systèmes de règles de production traduisant les corrélations entre descripteurs. De plus, ces systèmes de règles vérifient des propriétés d'ensemble qui les rendent opérationnels sur des moteurs d'inférences classiques. A cette fin on représente l'ensemble d'apprentissage et l'espace des descriptions sur un treillis booléen, le cube de Hilbert. L'apprentissage des règles se ramène alors à une exploration intelligente de l'espace de description. les-propriétés des règles et du système de règles que l'on désire construire étant traduites sous forme de contraintes de la procédure d'exploration
The experimental learning model by Pavel B Brazdil( Book )

1 edition published in 1976 in English and held by 1 WorldCat member library worldwide

Proceedings of Benelearn - 91 by Pavel B Brazdil( Book )

1 edition published in 1991 in English and held by 1 WorldCat member library worldwide

Machine Learning: ECML 2005 00 : 16th European Conference on Machine Learning, Porto, Portugal, October 3-7, 2005. Proceedings( )

1 edition published in 2005 in English and held by 0 WorldCat member libraries worldwide

Knowledge Discovery in Databases by European Conference on Principles and Practice of Knowledge Discovery in Databases (9th :( )

1 edition published in 2005 in English and held by 0 WorldCat member libraries worldwide

This book constitutes the refereed proceedings of the 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2005, held in Porto, Portugal, in October 2005, jointly with ECML 2005. The 35 revised full papers and 35 revised short papers presented together with abstracts of 6 invited talks were carefully reviewed and selected from 220 papers submitted to PKDD and 30 papers submitted to both, PKDD and ECML. The papers present a wealth of new results in knowledge discovery in databases and address all current issues in the area
 
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Machine learning, ECML-93 : European Conference on Machine Learning, Vienna, Australia, April 5-7, 1993 : proceedingsMachine learning : ECML-93 : European Conference on Machine Learning, Vienna, Austria ... 1993 : proceedings
Alternative Names
Brazdil, P.

Brazdil, P. B. 1945-

Brazdil, P. B. (Pavel B.), 1945-

Brazdil, Pavel

Brazdil, Pavel B. 1945-

Brazdil, Pavel Bernard

Languages
English (117)

French (1)

Covers
Progress in artificial intelligence : knowledge extraction, multi-agent systems, logic programming, and constraint solving : 10th Portuguese Conference on Artificial Intelligence, EPIA 2001, Porto, Portugal, December 17-20, 2001 : proceedingsMachine learning, meta-reasoning, and logicsMetalearning : applications to data miningKnowledge discovery in databases -- PKDD 2005 : 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, Porto, Portugal, October 3-7, 2005 : proceedingsDiscovery science : 12th international conference, DS 2009, Porto, Portugal, October 3 - 5, 2009 ; proceedingsDiscovery science : 12th international conference, DS 2009, Porto, Portugal, October 3-5, 2009 : proceedingsMachine learning : ECML-93 : European Conference on Machine Learning, Vienna, Austria ... 1993 : proceedings