Advances in machine learning and data analysis :: SCD d'Orléans

Advances in machine learning and data analysis

Advances in machine learning and data analysis

A large international conference on Advances in Machine Learning and Data Analysis was held in UC Berkeley, California, USA, October 22-24, 2008, under the auspices of the World Congress on Engineering and Computer Science (WCECS 2008). This volume contains sixteen revised and extended research arti...

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Xehetasun bibliografikoak
Egile nagusia:	Ao, Sio-Iong, 19..-
Beste egile batzuk:	Rieger, Burghard (Argitalpenaren zuzendaria), Amouzegar, Mahyar (Argitalpenaren zuzendaria)
Formatua:	Livre numérique
Hizkuntza:	Anglais
Argitaratua:	Dordrecht : Springer Netherlands [20..]. Cham : Springer Nature
Edizioa:	1st ed. 2010.
Saila:	Lecture Notes in Electrical Engineering 48
Sarrera elektronikoa:	Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL
Oharra:	Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale)
Autres localisations:	Voir dans le Sudoc

Antzeko izenburuak

Machine learning and systems engineering
nork: Ao, Sio-Iong, 19..-

Applied Time Series Analysis and Innovative Computing
nork: Ao, Sio-Iong, 19..-

Intelligent automation and systems engineering
nork: Ao, Sio-Iong, 19..-
Argitaratua: (2011)

Electrical engineering and intelligent systems
nork: Ao, Sio-Iong, 19..-

New Advances in Machine Learning
Argitaratua: (2021)

Machine Learning for Data Streams
nork: Bifet, Albert, et al.
Argitaratua: (2022)

Advances in Sensors, Big Data and Machine Learning in Intelligent Animal Farming
Argitaratua: (2022)

Advances in machine learning. Dedicated to the memory of Professor Ryszard S.Michalski
nork: Koronacki, Jacek

Advances in machine learning. Dedicated to the memory of Professor Ryszard S.Michalski
nork: Koronacki, Jacek

Big data et machine learning : manuel du data scientist
nork: Lemberger, Pirmin, et al.
Argitaratua: (2015)

Machine Learning for Imbalanced Data : Tackle imbalanced datasets using machine learning and deep learning techniques
nork: Abhishek, Kumar, et al.
Argitaratua: (2023)

Statistical and Machine Learning Models for Remote Sensing Data Mining - Recent Advancements
Argitaratua: (2022)

Big data et machine learning : les concepts et les outils de la data science
nork: Lemberger, Pirmin, et al.
Argitaratua: (2016)

Big data et machine learning : les concepts et les outils de la data science
nork: Lemberger, Pirmin, et al.
Argitaratua: (2019)

Synthetic Data for Machine Learning : Revolutionize your approach to machine learning with this comprehensive conceptual guide
nork: Kerim, Abdulrahman
Argitaratua: (2023)

Data Science and Reliable Machine Learning
Argitaratua: (2024)

Introduction to Data Science and Machine Learning
Argitaratua: (2021)

Data Mining and Machine Learning with Applications
Argitaratua: (2024)

Data Science and Reliable Machine Learning
Argitaratua: (2025)

Application of Machine Learning and Data Mining
Argitaratua: (2024)

Data science, statistique et machine learning
nork: Tufféry, Stéphane, 1965-...., statisticien
Argitaratua: (2025)

Introduction to Algorithms for Data Mining and Machine Learning
nork: Yang, Xin-She, 19..-
Argitaratua: (2019)

Data Cleaning and Exploration with Machine Learning : Get to grips with machine learning techniques to achieve sparkling-clean data quickly
nork: Walker, Michael
Argitaratua: (2022)

Recent Advances in Machine Learning and Computational Intelligence
Argitaratua: (2023)

Foundations and Advances of Machine Learning in Official Statistics
Argitaratua: (2025)

Graph Machine Learning : Learn about the latest advancements in graph data to build robust machine learning models
nork: Marzullo, Aldo, 1992-, et al.
Argitaratua: (2025)

Machine Learning and Deep Learning for Healthcare Data Processing and Analyzing
Argitaratua: (2026)

Big data, data mining, and machine learning : value creation for business leaders and practitioners
nork: Dean, Jared, 1978-
Argitaratua: (2014)

Statistics, Data Mining, and Machine Learning in Astronomy : A Practical Python Guide for the Analysis of Survey Data
nork: Ivezic, Zeljko, 1965-...., astrophysicien, et al.
Argitaratua: (2019)

Principles and theory for data mining and machine learning
nork: Clarke, Bertrand Salem, 1963-, et al.
Argitaratua: (2010)

Applied Spatiotemporal Data Analytics and Machine Learning
Argitaratua: (2026)

Machine Learning With Radiation Oncology Big Data
nork: Lei Xing, et al.
Argitaratua: (2021)

Statistical Data Modeling and Machine Learning with Applications
Argitaratua: (2022)

Machine Learning and Data Analytics for Cyber Security
Argitaratua: (2025)

Sensors Data Processing Using Machine Learning
Argitaratua: (2024)

Machine Learning and Data Mining in Materials Science
Argitaratua: (2021)

Machine Learning Advanced Dynamic Omics Data Analysis for Precision Medicine
Argitaratua: (2021)

Advances in Artificial Intelligence: Models, Optimization, and Machine Learning
Argitaratua: (2022)

Advances in Machine Learning and Mathematical Modeling for Optimization Problems
Argitaratua: (2023)

Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics
nork: N, Pradeep
Argitaratua: (2021)

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