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Bibliografiske detaljer
Hovedforfatter:	Olshenbaum, Konstantin
Format:	Recurso digital
Sprog:	engelsk
Udgivet:	Zenodo 2025
Fag:	Supervised Machine Learning Machine Learning/classification Neural Networks, Computer ensemble learning AdaBoost bootstrap resampling weak learners stochastic gradient descent neural boosting
Online adgang:	https://doi.org/10.5281/zenodo.15948128
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!

Lignende værker

Sistema de reconocimiento facial basado en imágenes con color
af: BEATRIZ OMAIRA PEDRAZA PICO
Udgivet: (2011)

Aplicación de métodos agregados en la detección de puntos atípicos en series de tiempo meteorológicas
af: Luis-Alexander Calvo-Valverde
Udgivet: (2018)

Mobile robot with vision based navigation and pedestrian detection
af: Marco A. Luna
Udgivet: (2017)

Automatic Classification of COVID-19 using CT-Scan Images
af: Hatice Catal Reis
Udgivet: (2021)

Comparison descent directions for Conjugate Gradient Method
af: Fernando Mesa
Udgivet: (2021)

Large deviations for stochastic Kuramoto–Sivashinsky equation with multiplicative noise
af: Gregory Amali Paul Rose
Udgivet: (2021)

Exploratory data analysis in the context of data mining and resampling.
af: Chong Ho Yu
Udgivet: (2010)

Comparative Analysis of Boost and Hybrid Boost Converters
af: Anamaría Romero Carvajal
Udgivet: (2023)

Sampling sufficiency for mechanical properties of wood
af: Arthur B. Aramburu
Udgivet: (2023)

Boosting Support Vector Machines
af: Elkin Eduardo García Díaz
Udgivet: (2006)

Application of the pseudo-Thellier technique to a paleomagnetic record from lake El Trébol (Patagonia, Argentina)
af: C.S.G. Gogorza
Udgivet: (2008)

Advancing Taxonomy with Machine Learning: A Hybrid Ensemble for Species and Genus Classification
af: Nanni, Loris, et al.
Udgivet: (2025)

Diabetes Prediction Using Machine Learning
af: GOKUL, BESTHA, et al.
Udgivet: (2025)

EL MÉTODO BOOTSTRAP EN LA ESTIMACIÓN DE INCERTIDUMBRES.
af: Emilio Hernández-Abreu
Udgivet: (2012)

Software Defect Prediction Dataset: 296,457 Code File Instances from Five Open-Source Repositories (Elasticsearch, Spring Boot, Hadoop, Kafka, Express)
af: Javvadi, Vijay P
Udgivet: (2026)

Diseño y consideraciones de un lazo de compensación para el convertidor tipo Boost (elevador) cd-cd controlado en modo de voltaje
af: David R. López-Flores
Udgivet: (2005)

Bibliography profiling of undergraduate theses in a professional psychology program
af: JAIME R. ROBLES
Udgivet: (2010)

Efecto del tamaño de muestra y el número de réplicas bootstrap
af: Isabel C. Ramírez
Udgivet: (2013)

41x Knowledge Distillation from Recurrent Ensembles to Liquid Continuous-Time Networks for Financial Time Series Classification
af: Kilgore, Brian
Udgivet: (2026)

PRICE PREDICTION AND RECOMMENDATION OF AIRBNB PROPERTY LISTINGS USING MACHINE LEARNING
af: Ganta, Nehemiah
Udgivet: (2025)

Gubernaculum and Epididymo-Testicular Descent: Review of the Literature
af: Eleonora Ivanova
Udgivet: (2022)

Maternal Strategies for Regulating their Children's Behavior in Brazilian Mothers of German and Italian Descent
af: Jaqueline Wendland
Udgivet: (2010)

DOSIS RADIOBIOLÓGICA EFECTIVA EN CÁNCER DE MAMA ESTADIOS INICIALES TRATADOS CON RADIOTERAPIA HIPOFRACCIONADA
af: ANDRÉS D CALLES
Udgivet: (2019)

Formulación de un controlador ∞ con incertidumbre no estructurada para un convertidor DC - DC elevador (boost)
af: Diana Marcela Devia-Narváez
Udgivet: (2021)

Modeling and development of a bridgeless PFC Boost rectifier
af: Gabriel Eduardo Mejía-Ruiz
Udgivet: (2017)

A Note on the Bandwidth Choice When the Null Hypothesis is Semiparametric
af: Jorge Barrientos-Marín
Udgivet: (2005)

New robust capability ratios approaches for quality control
af: Salvador Naya
Udgivet: (2016)

Sliding Mode Control Based on Internal Model for a Non-minimum phase Buck and Boost Converter
af: Byron Cajamarca
Udgivet: (2019)

Arithmetic Extermination II–IV: Rigorous Descent Proofs for Fermat's Last Theorem in the Energy-Lattice Framework
af: scott, eron
Udgivet: (2025)

Cyber Hacking Breaches Prediction Using Machine Learning
af: Narayan, Dr. Prabakaran, et al.
Udgivet: (2026)

Nonsmooth multiobjective fractional programming with generalized convexity
af: Lucelina Batista Santos
Udgivet: (2008)

Machine Learning Algorithms for Portuguese Named Entity Recognition
af: Ruy Luiz Milidiú
Udgivet: (2007)

Supervised Machine Learning in Cybersecurity
af: Loza, Boris
Udgivet: (2025)

KIWIQUALI Project 2023 - Physiological performance and models
af: Fernandes, Rafael Dreux Miranda, et al.
Udgivet: (2025)

Butterfly optimization-based ensemble learning strategy for advanced intrusion detection in internet of things networks
af: Choukhairi, Mouad, et al.
Udgivet: (2025)

Analysis of Artificial Intelligence Methods for Automatic Bandwidth Adjustment for Wireless Networks
af: Carrillo Marlon
Udgivet: (2025)

Projeto de Compensador para Conversos Boost Utilizando o Fator K
af: Barone Martins, Luís Fabiano, et al.
Udgivet: (2021)

Analysis and Design of A Zero Voltage Transition Dc-Dc Boost Converter
af: Genesia C Tavares, et al.
Udgivet: (2022)

Collatz Conjecture: Universal Cycle Descent (27n+19)/32 < n ? Lean4 Verified for All n>=4
af: Fujimoto, Nobuki, et al.
Udgivet: (2026)

DETECCIÓN DE ROSTROS EN IMÁGENES DIGITALES USANDO CLASIFICADORES EN CASCADA
af: MARTA LUCÍA GUEVARA
Udgivet: (2008)