Boosting : foundations and algorithms /

Boosting : foundations and algorithms /

Includes bibliographical references and index

Opis bibliograficzny
Główni autorzy:	Schapire, Robert E., Freund, Yoav
Format:
Język:	eng
Wydane:	Cambridge, MA : MIT Press, c201
Hasła przedmiotowe:	Boosting (Algorithms) Supervised learning (Machine learning)

Podobne zapisy

Machine Learning for an Enhanced Credit Risk Analysis: A Comparative Study of Loan Approval Prediction Models Integrating Mental Health Data
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Margin-based Ranking and an Equivalence between AdaBoost and RankBoost
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Price Prediction for Fresh Agricultural Products Based on a Boosting Ensemble Algorithm
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A comparative analysis of boosting algorithms for chronic liver disease prediction
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Modified link prediction algorithm based on AdaBoost
od: Zu-feng WU, i wsp.
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Modified link prediction algorithm based on AdaBoost
od: Zu-feng WU, i wsp.
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Algorithmic learning theory : 19th International conference, ALT 2008 Budapest, Hungary, October 2008 : proceeding /
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Active Learning for Stacking and AdaBoost-Related Models
od: Qun Sui, i wsp.
Wydane: (2024-01-01)

Exploring the interrelationships between composition, rheology, and compressive strength of self-compacting concrete: An exploration of explainable boosting algorithms
od: Sarmed Wahab, i wsp.
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CellBoost: A pipeline for machine assisted annotation in neuroanatomy
od: Kui Qian, i wsp.
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Semi-Supervised Multi-View Ensemble Learning Based On Extracting Cross-View Correlation
od: ZALL, R., i wsp.
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An Efficient AdaBoost Algorithm for Enhancing Skin Cancer Detection and Classification
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The Significance of Machine Learning and its Applicability in The research Field
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Methodology for detecting anomalies in cyber attack assessment data using Random Forest and Gradient Boosting in machine learning
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Leveraging Azure Automated Machine Learning and CatBoost Gradient Boosting Algorithm for Service Quality Prediction in Hospitality
od: Avisek Kundu, i wsp.
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Comparative Analysis of Gradient-Boosting Ensembles for Estimation of Compressive Strength of Quaternary Blend Concrete
od: Ismail B. Mustapha, i wsp.
Wydane: (2024-04-01)

Determinants of Egypt's unemployment rate with machine learning algorithms
od: Mohamed F. Abd El-Aal
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Research on an identification model for mine water inrush sources based on the HBA-CatBoost algorithm
od: Jin Xu, i wsp.
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Real-Time Classification of Vehicles Using Machine Learning Algorithm on the Extensive Dataset
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Komparasi Algoritma Naïve Bayes dan Gradient Boosting untuk Prediksi Pasien Diabetes
od: Nova Christina Sari, i wsp.
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A comparative study of ensemble methods in the field of education: Bagging and Boosting algorithms
od: Hikmet Şevgin
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The elements of statistical learning : data mining, inference and prediction /
od: 333832 Hastie, T., i wsp.
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SVM Ransomware Detection Using Machine Learning Algorithm
od: Olaniyi Abiodun Ayeni, i wsp.
Wydane: (2024-06-01)

Application of boosted trees to the prognosis prediction of COVID‐19
od: Sajjad Molaei, i wsp.
Wydane: (2024-05-01)

Comparison of Two Methods, Gradient Boosting and Extreme Gradient Boosting to Pre- dict Survival in Covid-19 Data
od: Nadiasadat Taghavi Razavizadeh, i wsp.
Wydane: (2023-09-01)

Optimisation and cross-validation of an e-hailing hybrid pricing algorithm using a supervised learning classification and regression tree model: a heuristic approach
od: Mohammed Naeem Qureshi, i wsp.
Wydane: (2024-03-01)

Foundations of learning classifier systems /
od: Bull, Larry, i wsp.
Wydane: (2005)

A Technical Comparative Heart Disease Prediction Framework Using Boosting Ensemble Techniques
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Wydane: (2024-01-01)

A hybrid machine learning framework by incorporating categorical boosting and manifold learning for financial analysis
od: Yuyang Zhao, i wsp.
Wydane: (2025-03-01)

Addressing bias in bagging and boosting regression models
od: Juliette Ugirumurera, i wsp.
Wydane: (2024-08-01)

Supervised Machine Learning a Brief Survey of Approaches
od: Esraa Najjar, i wsp.
Wydane: (2023-12-01)

Demand Forecasting for Food Production Using Machine Learning Algorithms: A Case Study of University Refectory
od: Mehmet Aci, i wsp.
Wydane: (2023-01-01)

Random Forest Algorithm to Investigate the Case of Acute Coronary Syndrome
od: Eka Pandu Cynthia, i wsp.
Wydane: (2021-04-01)

Foundations of machine learning /
od: Mohri, Mehryar, i wsp.
Wydane: (c201)

Compression Index Regression of Fine-Grained Soils with Machine Learning Algorithms
od: Mintae Kim, i wsp.
Wydane: (2024-09-01)

Introduction to Semi-supervised learning /
od: 352292 Zhu, Xiojin, i wsp.
Wydane: (2006)

On the adversarial robustness of Bayesian machine learning models
od: Blaas, AC
Wydane: (2021)

Adversarial robustness of Bayesian neural networks
od: Wicker, M
Wydane: (2021)

Predictive modeling of CO2 solubility in piperazine aqueous solutions using boosting algorithms for carbon capture goals
od: Mohammad-Reza Mohammadi, i wsp.
Wydane: (2024-09-01)

Machine learning-based state of charge estimation: A comparison between CatBoost model and C-BLSTM-AE model
od: Abderrahim Zilali, i wsp.
Wydane: (2025-06-01)