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Learning Probability Distributions over Permutations by Means of Fourier Coefficients
(2011)
A large and increasing number of data mining domains consider data
that can be represented as permutations. Therefore, it is important to
devise new methods to learn predictive models over datasets of permutations.
However, ...
A review on Estimation of Distribution Algorithms in Permutation-based Combinatorial Optimization Problems
(2011)
Estimation of Distribution Algorithms (EDAs) are a set of algorithms
that belong to the field of Evolutionary Computation. Characterized by the use of
probabilistic models to represent the solutions and the dependencies ...
On demand translation for querying incompletely aligned datasets
(2014-12-01)
More and more users aim at taking advantage of the existing Linked Open Data environment to formulate a query over a dataset and to then try to process the same query over different datasets, one after another, in order ...
A methodology for the semiautomatic annotation of EPEC-RolSem, a basque corpus labeled at predicative level following the PropBank-Verb Net model
(2013)
In this article we describe the methodology developed for the semiautomatic annotation of EPEC-RolSem, a Basque corpus labeled at predicate level following the PropBank-VerbNet model. The methodology presented is the product ...
PIM-SM extension for Source-Specific Multicast through non multicast networks
(2015-10-08)
Deployment of multicast in the open Internet is stagnated, mainly as a result of service provider policies and network limitations. To skip the lack of multicast connectivity between receivers and networks that carry traffic ...
New methods for generating populations in Markov network based EDAs: Decimation strategies and model-based template recombination
(2012-12-27)
Methods for generating a new population are a fundamental component of estimation of distribution algorithms (EDAs). They serve to transfer the information contained in the probabilistic model to the new generated population. ...
Analyzing limits of effectiveness in different implementations of estimation of distribution algorithms
(2011)
Conducting research in order to know the range of problems in which a search
algorithm is effective constitutes a fundamental issue to understand the algorithm
and to continue the development of new techniques. In this ...
A detailed investigation of classification methods for vowel speech imagery recognition
(2013-12-18)
Accurate and fast decoding of speech imagery from electroencephalographic (EEG) data could serve as a basis for a new generation of brain computer interfaces (BCIs), more portable and easier to use. However, decoding of ...
Using network mesures to test evolved NK-landscapes
(2012)
In this paper we empirically investigate which are the structural characteristics that can help to predict the complexity of NK-landscape instances for estimation of distribution algorithms. To this end, we evolve instances ...
An update of the J48Consolidated WEKA’s class: CTC algorithm enhanced with the notion of coverage
(2016-02-12)
This document aims to describe an update of the implementation of the J48Consolidated class within WEKA platform. The J48Consolidated class implements the CTC algorithm [2][3] which builds a unique decision tree based on ...