Buscar
Mostrando ítems 1-10 de 96
Métodos de Reconocimiento de Patrones en la solución de tareas geólogo – geofísicas
(1990)
Se discuten dos aplicaciones prácticas de los métodos de Reconocimiento de Patrones en el campo de las investigaciones geólogo-geofísicas. Una técnica particular, la así llamada regla NN (Nearest Neighbor rule) y tres de ...
Fast Most Similar Neighbor (MSN) classifiers for Mixed Data
(Revista Computación y Sistemas; Vol. 14 No.1, 2010-09-30)
Abstract. The k nearest neighbor (k-NN) classifier has been extensively used in Pattern Recognition because of its simplicity and its good performance. However, in large datasets applications, the exhaustive k-NN classifier ...
Fast k most similar neighbor classifier for mixed data (tree k-MSN)
(Elsevier Ltd, 2010)
Fast k most similar neighbor classifier for mixed data (tree k-MSN)
(Elsevier Ltd, 2010)
A comparison between k-Optimum Path Forest and k-Nearest Neighbors supervised classifiers
(Elsevier Science BvAmsterdamHolanda, 2014)
Lazy multi-label learning algorithms based on mutuality strategies
(SpringerDordrecht, 2015-12)
Lazy multi-label learning algorithms have become an important research topic within the multi-label community. These algorithms usually consider the set of standard k-Nearest Neighbors of a new instance to predict its ...
On boundary detection
(arXiv, 2019)
Given a sample of a random variable supported by a smooth compact manifold M⊂Rd, we propose a test to decide whether the boundary of M is empty or not with no preliminary support estimation. The test statistic is based on ...