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Reducing the gap between mobile and intelligent software agents
(Int Inst Informatics & Systemics, 2001-01-01)
This paper presents an approach to integrate an artificial intelligence (AI) technique, concretely rule-based processing, into mobile agents. In particular, it focuses on the aspects of designing and implementing an ...
Characterization of the temperature, load and damage effects using piezoelectric transducer patches based on fuzzy clustering
(2011-12-01)
Structural Health Monitoring (SHM) denotes a system with the ability to detect and interpret adverse changes in a structure. One of the critical challenges for practical implementation of SHM system is the ability to detect ...
Graph construction for semi-supervised learning
(Association for the Advancement of Artificial Intelligence - AAAIInternational Joint Conferences on Artificial Intelligence - IJCAISociedad Argentina de Informática e Investigación Operativa - SADIOUniversidad de Buenos Aires - UBAUniversidad Nacional del Sur - UNSMinisterio de Ciencia, Tecnología e Innovación ProductivaConsejo Nacional de Investigaciones Científicas y Técnicas – CONICETBuenos Aires, 2015-07)
Semi-Supervised Learning (SSL) techniques have become very relevant since they require a small set of labeled data. In this scenario, graph-based SSL algorithms provide a powerful framework for modeling manifold structures ...
Bipartite graph for topic extraction
(Association for the Advancement of Artificial Intelligence - AAAIInternational Joint Conferences on Artificial Intelligence - IJCAISociedad Argentina de Informática e Investigación Operativa - SADIOUniversidad de Buenos Aires - UBAUniversidad Nacional del Sur - UNSMinisterio de Ciencia, Tecnología e Innovación ProductivaConsejo Nacional de Investigaciones Científicas y Técnicas - CONICETBuenos Aires, 2015-07)
This article presents a bipartite graph propagation method to be applied to different tasks in the machine learning unsupervised domain, such as topic extraction and clustering. We introduce the objectives and hypothesis ...
Feature selection for multi-label learning
(Association for the Advancement of Artificial Intelligence - AAAIInternational Joint Conferences on Artificial Intelligence - IJCAISociedad Argentina de Informática e Investigación Operativa - SADIOUniversidad de Buenos Aires - UBAUniversidad Nacional del Sur - UNSMinisterio de Ciencia, Tecnología e Innovación ProductivaConsejo Nacional de Investigaciones Científicas y Técnicas – CONICETBuenos Aires, 2015-07)
Feature Selection plays an important role in machine learning and data mining, and it is often applied as a data pre-processing step. This task can speed up learning algorithms and sometimes improve their performance. In ...
Stochastic density ratio estimation and its application to feature selection
(Association for the Advancement of Artificial Intelligence - AAAIInternational Joint Conferences on Artificial Intelligence - IJCAISociedad Argentina de Informática e Investigación Operativa - SADIOUniversidad de Buenos Aires - UBAUniversidad Nacional del Sur - UNSMinisterio de Ciencia, Tecnología e Innovación ProductivaConsejo Nacional de Investigaciones Científicas y Técnicas – CONICETBuenos Aires, 2015-07)
In this work, we deal with a relatively new statistical tool in machine learning: the estimation of the ratio of two probability densities, or density ratio estimation for short. As a side piece of research that gained its ...
One-class to multi-class model update using the class-incremental optimum-path forest classifier
(European Association for Artificial Intelligence - EurAIBenelux Association for Artificial Intelligence - BNVKIHague, 2016-08)
Incremental learning capabilities of classifiers is a relevant topic, specially when dealing with scenarios such as data stream mining, concept drift and active learning. We investigate the capabilities of an incremental ...
Identification of structural damage in flexible structures using system norm and neural networks
(2006-12-01)
Nowadays there is great interest in damage identification using non destructive tests. Predictive maintenance is one of the most important techniques that are based on analysis of vibrations and it consists basically of ...