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Efficient learning of decomposable models with a bounded clique size
(2014-05-08)
The learning of probability distributions from data is a ubiquitous problem in the fields of Statistics and Artificial Intelligence. During the last decades several learning algorithms have been proposed to learn probability ...
On the optimal usage of labelled examples in semi-supervised multi-class classification problems
(2015-04-23)
In recent years, the performance of semi-supervised learning has been theoretically investigated. However, most of this theoretical development has focussed on binary classification problems. In this paper, we take it a ...
Two Datasets of Defect Reports Labeled By a Crowd of Annotators of Unknown Reliability
(Elsevier, 2018-06)
Classifying software defects according to any defined taxonomy is not straightforward. In order to be used for automatizing the classification of software defects, two sets of defect reports were collected from public issue ...
Approaching Sentiment Analysis by Using Semi-supervised Learning of Multidimensional Classifiers
(2011)
Sentiment Analysis is defined as the computational study of opinions, sentiments and emotions
expressed in text. Within this broad field, most of the work has been focused on either Sentiment
Polarity classification, ...
Differential Micro RNA Expression in PBMC from Multiple Sclerosis Patients
(Public Library of Science, 2009-07-20)
Differences in gene expression patterns have been documented not only in Multiple Sclerosis patients versus healthy controls but also in the relapse of the disease. Recently a new gene expression modulator has been identified: ...
Identification of a biomarker panel for colorectal cancer diagnosis
(BioMed Central, 2012-01-26)
Background: Malignancies arising in the large bowel cause the second largest number of deaths from cancer in the Western World. Despite progresses made during the last decades, colorectal cancer remains one of the most ...
Triku: a feature selection method based on nearest neighbors for single-cell data
(Oxford University Press, 2022-03-12)
Abstract
BACKGROUND: Feature selection is a relevant step in the analysis of single-cell RNA sequencing datasets. Most of the current feature selection methods are based on general univariate descriptors of the data ...
A Review of Estimation of Distribution Algorithms in Bioinformatics
(Biomed Central, 2008-09-11)
Evolutionary search algorithms have become an essential asset in the algorithmic toolbox for solving high-dimensional optimization problems in across a broad range of bioinformatics problems. Genetic algorithms, the most ...
Gene Expression Profiling in Limb-Girdle Muscular Dystrophy 2A
(Public Library of Science, 2008-11-18)
Limb-girdle muscular dystrophy type 2A (LGMD2A) is a recessive genetic disorder caused by mutations in calpain 3 (CAPN3). Calpain 3 plays different roles in muscular cells, but little is known about its functions or in ...