Multi-strategy learning made easy

• Tipo: Artigo em Revista Científica Internacional
• Data: 2006

Autores

Francisco Reinaldo (Autor) Outra; Marcus Siqueira (Autor) Outra; Rui Camacho (Autor) FEUP; Luís Paulo Reis (Autor) FEUP

Revista

Título: WSEAS Transactions on Systems

Vol. 5 Nº 10

Páginas: 2378-2384

ISSN: 1109-2777

Editora: World Scientific and Engineering Academy and Society (WSEAS) Press

Indexação

ISI Web of Knowledge

Scopus - 1 Citação

INSPEC

COMPENDEX

Outras Informações

ID Authenticus: P-007-G0H

Abstract (EN): This paper presents the AFRANCI tool for the development of Multi-Strategy learning systems. Designing a Multi-Strategy system using AFRANCI is a two step process. The use interactively designs the structure of the system and then chooses the learning strategies for each module. After providing the datasets all modules as automatically trained. The system is aware and takes into consideration the inter-dependency of the modules. The tool has built-in learning algorithms but can use external programs implementing the learning algorithms. The tool has the following facilities. It allows any user to design in an interactive and easy fashion the structure of the target system. The structure of the target system is a collection of interconnected modules. The user may then choose the different learning algorithms to construct each module. The tool has several built-in Machine Learning algorithms has has interfaces that enables it to use external learning tools like WEKA and CN2. AFRANCI uses the interdependency of the modules to determine the sequence of training. For each module the system uses a wrapper to tune automatically the parameters of the learning algorithm. In the final step of the design sequence AFRANCI generates a compact and legible ready-to-use ANSI C open-source code for the final system.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 7