Inductive Logic Programming
Mostrando 1-8 de 8 artigos, teses e dissertações.
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1. Lógicas probabilísticas com relações de independência: representação de conhecimento e aprendizado de máquina. / Probabilistic logics with independence relationships: knowledge representation and machine learning.
A combinação de lógica e probabilidade (lógicas probabilísticas) tem sido um tópico bastante estudado nas últimas décadas. A maioria de propostas para estes formalismos pressupõem que tanto as sentenças lógicas como as probabilidades sejam especificadas por especialistas. Entretanto, a crescente disponibilidade de dados relacionais sugere o uso de
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 17/05/2011
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2. Uma abordagem híbrida relacional para a desambiguação lexical de sentido na tradução automática / A hybrid relational approach for word sense disambiguation in machine translation
A comunicação multilíngue é uma tarefa cada vez mais imperativa no cenário atual de grande disseminação de informações em diversas línguas. Nesse contexto, são de grande relevância os sistemas de tradução automática, que auxiliam tal comunicação, automatizando-a. Apesar de ser uma área de pesquisa bastante antiga, a Tradução Automática a
Publicado em: 2007
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3. InduÃÃo de programas lÃgicos orientados a objetos
Em muitas de suas aplicaÃÃes prÃticas â tais como Processamento de Linguagem Natural(PLN), CASE, sistemas especialistas em domÃnios complexos, ontologias de Web semÃntica e Descoberta de conhecimento em banco de dados(KDD) - ProgramaÃÃo em LÃgica Indutiva(PLI) nÃo à usada para substituir, mas para complementar aquisiÃÃo de conhecimento manual. U
Publicado em: 2003
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4. INTELIGÊNCIA COMPUTACIONAL APLICADA EM MACHINE LEARNING / COMPUTATIONAL INTELLIGENCE APLPLIED IN THE FIELD OF MACHINE LEARNING
This work investigates the application and performance of the Computational intelligence technics in the field of Machine Learning. In particular, was investigated the application of intelligent systems (Neural Networks, genetic Algorithms and fuzzy Logic) in the development of algorithms that codify inductive mechanisms in Machine Learning. This work was de
Publicado em: 1999
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5. Ampliando os limites do aprendizado indutivo de máquina através das abordagens construtiva e relacional. / Extending the limits of inductive machine learning through constructive and relational approaches.
This work investigates Inductive Machine Learning as a function of the description languages employed to express instances, concepts and domain theory. The enlargement of the representational power of propositional learning methods is approached via constructive induction, in the domain of boolean functions, through the proposal of a bias for composing attri
Publicado em: 1994
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6. Drug design by machine learning: the use of inductive logic programming to model the structure-activity relationships of trimethoprim analogues binding to dihydrofolate reductase.
The machine learning program GOLEM from the field of inductive logic programming was applied to the drug design problem of modeling structure-activity relationships. The training data for the program were 44 trimethoprim analogues and their observed inhibition of Escherichia coli dihydrofolate reductase. A further 11 compounds were used as unseen test data.
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7. Structure-activity relationships derived by machine learning: the use of atoms and their bond connectivities to predict mutagenicity by inductive logic programming.
We present a general approach to forming structure-activity relationships (SARs). This approach is based on representing chemical structure by atoms and their bond connectivities in combination with the inductive logic programming (ILP) algorithm PROGOL. Existing SAR methods describe chemical structure by using attributes which are general properties of an o
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8. Photosynthetic Acclimation Is Reflected in Specific Patterns of Gene Expression in Drought-Stressed Loblolly Pine1[w]
Because the product of a single gene can influence many aspects of plant growth and development, it is necessary to understand how gene products act in concert and upon each other to effect adaptive changes to stressful conditions. We conducted experiments to improve our understanding of the responses of loblolly pine (Pinus taeda) to drought stress. Water w
The American Society for Plant Biologists.