Mostrando 7 resultados de: 7
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(3)
Communications in Computer and Information Science(1)
Pattern Recognition Letters(1)
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS(1)
Sensors (Switzerland)(1)
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Ciencias de la computación(4)
Funcionamiento de bibliotecas y archivos(2)
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Biblioteconomía y Documentación informatica(1)
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Aprendizaje automático(5)
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ODS 9: Industria, innovación e infraestructura(5)
ODS 17: Alianzas para lograr los objetivos(4)
ODS 4: Educación de calidad(3)
ODS 3: Salud y bienestar(2)
ODS 10: Reducción de las desigualdades(1)
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scopus(7)
A novel method for objective selection of information sources using multi-kernel SVM and local scaling
ArticleAbstract: Advancement on computer and sensing technologies has generated exponential growth in the data availaPalabras claves:Machine learning, Multimodality, multiple kernel learning, Source selection, SUPPORT VECTOR MACHINESAutores:A. E. Castro-Ospina, Areiza-Laverde H.J., Díaz G.M., Hernández M.L.Fuentes:scopusAutomatic graph building approach for spectral clustering
Conference ObjectAbstract: Spectral clustering techniques have shown their capability to identify the data relationships usingPalabras claves:Graph analysis, kernel function, Spectral clusteringAutores:A. E. Castro-Ospina, Álvarez-Meza A.M., Castellanos-Dominguez G.Fuentes:scopusAutomatic graph pruning based on kernel alignment for spectral clustering
ArticleAbstract: Detection of data structures in spectral clustering approaches becomes a difficult task when dealingPalabras claves:Graph pruning, Kernel alignment, Spectral clusteringAutores:A. E. Castro-Ospina, Álvarez-Meza A.M., Castellanos-Dominguez G.Fuentes:scopusDevelopments on solutions of the normalized-cut-clustering problem without eigenvectors
Conference ObjectAbstract: Normalized-cut clustering (NCC) is a benchmark graph-based approach for unsupervised data analysis.Palabras claves:Eigenvectors, Graph-based clustering, Normalized cut clustering, Quadratic formsAutores:A. E. Castro-Ospina, Diego Hernán Peluffo-Ordóñez, Israel D. Herrera-Granda, K. L. Ponce-Guevara, Leandro L. Lorente-Leyva, Miguel A. Becerra, Paul D. Rosero-Montalvo, Rodríguez-Sotelo J.L.Fuentes:scopusEfficient hyperparameter optimization in convolutional neural networks by learning curves prediction
Conference ObjectAbstract: In this work, we present an automatic framework for hyperparameter selection in Convolutional NeuralPalabras claves:deep learning, forecasting, Hyperparameter optimization, Learning curves, Singular spectrum analysis, SVRAutores:A. E. Castro-Ospina, Cardona-Escobar A., Giraldo-Forero A., Jaramillo-Garzon J.A.Fuentes:scopusFeature group selection using mkl penalized with ℓ<inf>1</inf> -norm and svm as base learner
Conference ObjectAbstract: Objective feature selection is an important component in the machine learning framework, which has aPalabras claves:feature selection, Group LASSO, Multimodality, multiple kernel learning, sparsityAutores:A. E. Castro-Ospina, Areiza-Laverde H.J., Díaz G.M.Fuentes:scopusNovel heuristic search for ventricular arrhythmia detection using normalized cut clustering
Conference ObjectAbstract: Processing of the long-term ECG Holter recordings for accurate arrhythmia detection is a problem thaPalabras claves:cardiac arrhythmia, heuristic search, kernel density estimator, Normalized cut clusteringAutores:A. E. Castro-Ospina, Castellanos-Dominguez G., Castro-Hoyos C., Diego Hernán Peluffo-OrdóñezFuentes:scopus