Cargando…

Convergence Rates for Empirical Estimation of Binary Classification Bounds

Bounding the best achievable error probability for binary classification problems is relevant to many applications including machine learning, signal processing, and information theory. Many bounds on the Bayes binary classification error rate depend on information divergences between the pair of cl...

Descripción completa

Detalles Bibliográficos
Autores principales:	Sekeh, Salimeh Yasaei, Noshad, Morteza, Moon, Kevin R., Hero, Alfred O.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2019
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514489/ http://dx.doi.org/10.3390/e21121144

Ejemplares similares

Geometric Estimation of Multivariate Dependency
por: Yasaei Sekeh, Salimeh, et al.
Publicado: (2019)

A data value metric for quantifying information content and utility
por: Noshad, Morteza, et al.
Publicado: (2021)

Ensemble Estimation of Information Divergence †
por: Moon, Kevin R., et al.
Publicado: (2018)

Asymptotic convergence in distribution of the area bounded by prevalence-weighted Kaplan–Meier curves using empirical process modelling
por: Heuser, Aaron, et al.
Publicado: (2018)

An investigation of penalization and data augmentation to improve convergence of generalized estimating equations for clustered binary outcomes
por: Geroldinger, Angelika, et al.
Publicado: (2022)

An empirical framework for binary interactome mapping
por: Venkatesan, Kavitha, et al.
Publicado: (2008)

An Empirical Study of Univariate and Genetic Algorithm-Based Feature Selection in Binary Classification with Microarray Data
por: Lecocke, Michael, et al.
Publicado: (2007)

Skin lesion classification using multi-resolution empirical mode decomposition and local binary pattern
por: Samsudin, Siti Salbiah, et al.
Publicado: (2022)

Empirical estimates of the mutation rate for an alphabaculovirus
por: Boezen, Dieke, et al.
Publicado: (2022)

An Empirical Test of Convergent Evolution in Rhodopsins
por: Mackin, Kristine A., et al.
Publicado: (2014)

Beyond Binaries: Dissolving the Empirical/Normative Divide
por: Chan, Sarah, et al.
Publicado: (2020)

The topology of uniform convergence on order-bounded sets
por: Wong, Yau-Chuen
Publicado: (1976)

Helstrom Bound for Squeezed Coherent States in Binary Communication
por: Curado, Evaldo M. F., et al.
Publicado: (2022)

On the convergence rates of kernel estimator and hazard estimator for widely dependent samples
por: Li, Yongming, et al.
Publicado: (2018)

Correction: Empirical estimates of the mutation rate for an alphabaculovirus
Publicado: (2022)

Weak convergence and empirical processes: with applications to statistics
por: Vaart, Aad W, et al.
Publicado: (1996)

A Bounded Measure for Estimating the Benefit of Visualization (Part II): Case Studies and Empirical Evaluation
por: Chen, Min, et al.
Publicado: (2022)

The Binary Classification Of Chronic Diseases
por: Elkoshi, Zeev
Publicado: (2019)

The Binary Classification of Protein Kinases
por: Elkoshi, Zeev
Publicado: (2021)

Superoptimal Rate of Convergence in Nonparametric Estimation for Functional Valued Processes
por: Chesneau, Christophe, et al.
Publicado: (2014)

Data on empirically estimated corporate survival rate in Russia
por: Kuzmin, Evgeny A.
Publicado: (2017)

Empirical Variational Mode Decomposition Based on Binary Tree Algorithm
por: Li, Huipeng, et al.
Publicado: (2022)

Feature Selection on Elite Hybrid Binary Cuckoo Search in Binary Label Classification
por: Zhao, Maoxian, et al.
Publicado: (2021)

Empirical estimation of sequencing error rates using smoothing splines
por: Zhu, Xuan, et al.
Publicado: (2016)

Variable selection for binary classification using error rate p-values applied to metabolomics data
por: van Reenen, Mari, et al.
Publicado: (2016)

A new quantum approach to binary classification
por: Sergioli, Giuseppe, et al.
Publicado: (2019)

Texture Classification by Texton: Statistical versus Binary
por: Guo, Zhenhua, et al.
Publicado: (2014)

Immune Centroids Oversampling Method for Binary Classification
por: Ai, Xusheng, et al.
Publicado: (2015)

Binary Credal Classification Under Sparsity Constraints
por: Basu, Tathagata, et al.
Publicado: (2020)

An application of neighbourhoods in digraphs to the classification of binary dynamics
por: Conceição, Pedro, et al.
Publicado: (2022)

Convergence estimates in approximation theory
por: Gupta, Vijay, et al.
Publicado: (2014)

The Effects of Evidence Bounds on Decision-Making: Theoretical and Empirical Developments
por: Zhang, Jiaxiang
Publicado: (2012)

Empirical Bayesian LASSO-logistic regression for multiple binary trait locus mapping
por: Huang, Anhui, et al.
Publicado: (2013)

Empirical Comparisons of 12 Meta-analysis Methods for Synthesizing Proportions of Binary Outcomes
por: Lin, Lifeng, et al.
Publicado: (2021)

Health status convergence at the local level: empirical evidence from Austria
por: Gächter, Martin, et al.
Publicado: (2011)

Strong convergence and bounded perturbation resilience of a modified proximal gradient algorithm
por: Guo, Yanni, et al.
Publicado: (2018)

Intrinsic Flat and Gromov-Hausdorff Convergence of Manifolds with Ricci Curvature Bounded Below
por: Matveev, Rostislav, et al.
Publicado: (2016)

Enhancing Confusion Entropy (CEN) for binary and multiclass classification
por: Delgado, Rosario, et al.
Publicado: (2019)

Pareto-Optimal Data Compression for Binary Classification Tasks
por: Tegmark, Max, et al.
Publicado: (2019)

On the Potential of the Nature-Inspired Algorithms for Pure Binary Classification
por: Fister, Iztok, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_cnn8s8uo78oetkqi6l4pk554jd