Learning Classifier System
Mostrando 1-12 de 12 artigos, teses e dissertações.
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1. Breast cancer diagnosis based on mammary thermography and extreme learning machines
Abstract Introduction Breast cancer is the most common cancer in women and one of the major causes of death from cancer among female around the world. The early detection and treatment are the major way to healing. The use of mammary thermography in Mastology is increasing as a complementary imaging technique to early detect lesions. Its use as a screening
Res. Biomed. Eng.. Publicado em: 05/03/2018
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2. Aplicação de modelos de Markov ocultos na obtenção de taxas de mortalidade das larvas do mosquito da Dengue
In order to prevent the proliferation of Dengue transmitter - scientifically named as Aedes ae- gypti - and therefore decrease human contamination by such insect, many larvaecides have been developed recently. Researchers from Dom Bosco Catholic University evaluate the efectiveness of vegetal-derived substances capable to combat such animal larvae. Death rat
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 26/02/2010
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3. Learning classifier system for multi-label classification / Sistemas classificadores evolutivos para problemas multirrótulo
Classificação é, provavelmente, a tarefa mais estudada na área de Aprendizado de Máquina, possuindo aplicação em uma grande quantidade de problemas reais, como categorização de textos, diagnóstico médico, problemas de bioinformática, além de aplicações comerciais e industriais. De um modo geral, os problemas de classificação podem ser catego
Publicado em: 2009
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4. Conversão simbólica de sinais digitais por meio da Teoria de Extremos Relativos
The goal is to develop a new technique for symbolic conversion of digital signals, called Quantization based on Relative Extrema (QBER). This technique can convert unidimensional digital signals into strings. The technique QBER, formalized in this proposal, uses Relative Extrema Theory (TER ) and signals similarity functions, as metric Edit Distance with Rea
Publicado em: 2009
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5. Aprendizado de máquina baseado em separabilidade linear em sistema de classificação híbrido-nebuloso aplicado a problemas multiclasse
Este trabalho de mestrado descreve um sistema classificador inteligente aplicado a problemas multiclasse não-linearmente separáveis chamado Slicer. O sistema adota uma estratégia de aprendizado supervisionado de baixo custo computacional (avaliado em ) baseado em separabilidade linear. Durante o período de aprendizagem o sistema determina um conjunto de
Publicado em: 2009
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6. Sistema biométrico híbrido para verificação de assinaturas manuscritas / Hybrid biometric handwritten signature verification system
Through this document the development of a new hybrid on/off-line signature verification system is described, where the dynamic reference data is acquired by either a tablet or an instrumented pen and it is used to support the corresponding static signal (image). The signatures are segmented according to the complexity of their constituent strokes based upon
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 15/12/2008
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7. On cognition, adaptation and homeostasis : analysis and synthesis of bio-inspired computational tools applied to robot autonomous navigation / Sobre cognição, adaptação e homeostase : uma analise de ferramentas computacionais bioinspiradas aplicadas a navegação autonoma de robos
The objectives of this work are to study, develop and apply two bio-inspired computational tools in robot autonomous navigation. The first tool is represented by Learning Classifier Systems, using the strength-based and the accuracy-based models. Additionally, the rule evolution mechanisms and the final evolved populations are analyzed. The second tool is a
Publicado em: 2008
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8. Análise de conteúdo de vídeo por meio de aprendizado ativo
Advances in compression techniques, decreasing cost of storage, and high-speed transmission have facilitated the way videos are created, stored and distributed. As a consequence, videos are now being used in many applications areas. The increase in the amount of video data deployed and used in today s applications reveals not only the importance as multimedi
Publicado em: 2007
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9. Bioinspired computing systems : synthesis and application in computational intelligence and artificial homeostasis / Sistemas computacionais bio-inspirados : sintese e aplicação em inteligencia computacional e homeostase artificial
This work proposes a circumstantial classification for complex systems, including a unified description structure to be employed in the analysis and synthesis of biologically inspired computing metaphors. Considered as a branch of organized complex systems, these bio-inspired computing frameworks may be subdivided into computation intelligence systems and ar
Publicado em: 2005
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10. Classificador de qualidade de álcool combustível e poder calorífico de gás GLP. / Alcohol combustible quality and LPG gas calorific power classifier.
This work shows the results of a robust system development as an alternative to recognize the quality of an alcohol fuel vapor sample and Liquid Petrol Gas (LPG) heat power in an electric nose. Two experimental methodologies were implemented to extract the features of alcohol fuel vapor and LPG gas patterns. The first approach to process the data used an Fuz
Publicado em: 2004
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11. Uma proposta evolutiva para controle inteligente em navegação autonoma de robos
This work presents an autonomous evolutionary system applied to the control of a mobile robot when navigating in unknown environments. The system is reactive, it does not have initial knowledge and learns efficiently to deal with situations where the robot must capture targets avoiding collisions against obstacles. Toward this end, it develops general strate
Publicado em: 2004
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12. Um ambiente para avaliação de algoritmos de aprendizado de máquina simbólico utilizando exemplos. / An environment to evaluate machine learning algorithms.
A learning system is a computer program that makes decisions based on the accumulative experience contained in successfully solved cases. The classification rules induced by a learning system are judged by two criteria: their classification error on an independent test set and their complexity. Practical learning systems have been developed using different p
Publicado em: 1997