Search results for "Classification methods"
showing 5 items of 15 documents
Comparison of classification methods that combine clinical data and high-dimensional mass spectrometry data
2013
Background The identification of new diagnostic or prognostic biomarkers is one of the main aims of clinical cancer research. Technologies like mass spectrometry are commonly being used in proteomic research. Mass spectrometry signals show the proteomic profiles of the individuals under study at a given time. These profiles correspond to the recording of a large number of proteins, much larger than the number of individuals. These variables come in addition to or to complete classical clinical variables. The objective of this study is to evaluate and compare the predictive ability of new and existing models combining mass spectrometry data and classical clinical variables. This study was co…
An Empirical Evaluation of Common Vector Based Classification Methods and Some Extensions
2008
An empirical evaluation of linear and kernel common vector based approaches has been considered in this work. Both versions are extended by considering directions (attributes) that carry out very little information as if they were null. Experiments on different kinds of data confirm that using this as a regularization parameter leads to usually better (and never worse) results than the basic algorithms.
Half a century of Anales de Pediatría. Evolution of its main bibliometric indicators in the Web of Science and Scopus international databases
2019
Purpose: To analyze the coverage and main bibliometric indicators of Anales de Pediatría in Scopus and Science Citation Index Expanded of the Web of Science (SCIE) databases. Material and method: The evolution of the journal production was identified according to the document types, collaboration indexes between authors and institutions, and citations, and impact indicators (number of citations, impact factor, 5-years impact factor and without self-citations, Scimago Journal Rank, quartile, h-index and most cited works). Results: A total of 10,128 papers were included in Scopus (a mean of around 225 per year) and 1861 in SCIE (a mean of around 207 per year). The index of collaboration was 4…
Parasite infracommunities as predictors of harvest location of bogue (Boops boops L.): a pilot study using statistical classifiers
2005
The accuracy of classifying bogue (Boops boops) according to the fishery from which it was harvested was evaluated by applying several statistical classification techniques to fish parasite abundances. Bogue captured in 2001 in two fisheries off the Atlantic coast of Spain were compared with one off the Spanish Mediterranean coast. One hundred bogue were classified to each harvest location (fishery) using different numbers of parasite species chosen as predictors by a best subset method. Two parametric methods of classification (linear and quadratic discriminant analysis) were compared with two non-parametric approaches (k-nearest neighbour classification and feed-forward neural network) an…
One-Class Classifiers : A Review and Analysis of Suitability in the Context of Mobile-Masquerader Detection
2007
One-class classifiers employing for training only the data from one class are justified when the data from other classes is difficult to obtain. In particular, their use is justified in mobile-masquerader detection, where user characteristics are classified as belonging to the legitimate user class or to the impostor class, and where collecting the data originated from impostors is problematic. This paper systematically reviews various one-class classification methods, and analyses their suitability in the context of mobile-masquerader detection. For each classification method, its sensitivity to the errors in the training set, computational requirements, and other characteristics are consi…