Buscar
Mostrando ítems 1-10 de 208
Multiple-Instance Learning through Optimum-Path Forest
(2019-07-01)
Multiple-instance (MI) learning aims at modeling problems that are better described by several instances of a given sample instead of individual descriptions often employed by standard machine learning approaches. In ...
Multiple-Instance Learning through Optimum-Path Forest
(Ieee, 2019-01-01)
Multiple-instance (MI) learning aims at modeling problems that are better described by several instances of a given sample instead of individual descriptions often employed by standard machine learning approaches. In ...
Hybrid visualization: A new approach to display instances relationship and attributes behaviour in a single view
(2015-09-18)
Visualization techniques have been widely used in dataset exploration. A common strategy is to employ different techniques to facilitate the exploratory process, enabling different perspectives from the same dataset. In ...
Evaluating genetic algorithms with different population structures on a lot sizing and scheduling problem
(2008-12-01)
This paper studies the use of different population structures in a Genetic Algorithm (GA) applied to lot sizing and scheduling problems. The population approaches are divided into two types: single-population and ...
Flexible Job Shop Problem with Variable Machine Flexibility
(2019-01-01)
We analyze machine flexibility in the context of the flexible job shop problem. In general, the decisions about machine flexibility are taken in advance (the data sets already contain this information). Based on a mathematical ...
Graph construction based on labeled instances for semi-supervised learning
(International Association of Pattern Recognition - IAPRLinköping UniversityLund UniversityUppsala UniversityInstitute of Electrical and Electronics Engineers - IEEEStockholm, 2014-08)
Semi-Supervised Learning (SSL) techniques have become very relevant since they require a small set of labeled data. In this context, graph-based algorithms have gained prominence in the area due to their capacity to ...
An evolutionary sampling approach for classification with imbalanced data
(International Neural Network Society – INNSIEEE Computational Intelligence SocietyKillarney, 2015-07)
In some practical classification problems in which the number of instances of a particular class is much lower/higher than the instances of the other classes, one commonly adopted strategy is to train the classifier over ...
Music classification by transductive learning using bipartite heterogeneous networks
(International Society for Music Information Retrieval - ISMIRTaipei, 2014-10)
The popularization of music distribution in electronic format has increased the amount of music with incomplete metadata. The incompleteness of data can hamper some important tasks, such as music and artist recommendation. ...
Knowledge representation and orthophemism: A reflection aiming to a concept
(2012-01-01)
Characteristics of speech, especially figures of speech, are used by specific communities or domains, and, in this way, reflect their identities through their choice of vocabulary. This topic should be an object of study ...