Pattern recognition and machine learning /

Pattern recognition and machine learning /

Bibliografiske detaljer
Hovedforfatter:	Bishop, Christopher M.
Format:	Bog
Sprog:	English
Udgivet:	New York : Springer, 2006.
Serier:	Information science and statistics
Fag:	Pattern perception. Machine learning.
Classic Catalogue:	View this record in Classic Catalogue

Lignende værker

Kernel methods for pattern analysis /
af: Shawe-Taylor, John
Udgivet: (2004)

Verifying online signatures through an iterative device independent model
af: Tahsin, Samiha, et al.
Udgivet: (2024)

Phase Transitions in Machine Learning
af: Lorenza Saitta, Attilio Giordana, Antoine Cornuéjols
Udgivet: (2012)

Scaling Up Machine Learning
af: Edited by Ron Bekkerman, Mikhail Bilenko, John Langford
Udgivet: (2012)

Gene classification and pattern analysis using data mining and machine learning techniques
af: Ramisa, Aiman Jabeen, et al.
Udgivet: (2021)

Neural networks for pattern recognition /
af: Bishop, Christopher M.
Udgivet: (1995)

Handwritten Bangla character recognition to braille pattern conversion using image processing and machine learning
af: Abir, Tawhidur Rahman, et al.
Udgivet: (2019)

Understanding machine learning : from theory to algorithms /
af: Shalev-Shwartz, Shai
Udgivet: (2014)

Supervising vehicle using pattern recognition
af: Lushan, Mihodi Hasan, et al.
Udgivet: (2018)

Study on human emotion based on facial expressions through human machine communication
af: Murshed, Tahmin Aysha, et al.
Udgivet: (2021)

Pattern recognition with Quantum Support Vector Machine(QSVM) on near term quantum processors.
af: Ahmed, Sajjad
Udgivet: (2019)

Urban pattern recognition from multi-spectral satellite images and flood prediction using machine learning models
af: Tasnia, Rifah, et al.
Udgivet: (2024)

Machine Learning /
af: Mitchell, Tom M. (Tom Michael), 1951-
Udgivet: (1997)

Weather Pattern Extraction using Statistical Methods & Machine Learning Techniques
af: Habib, Adria Binte
Udgivet: (2021)

Heart disease prediction using machine learning algorithms
af: Ali, Musfiq, et al.
Udgivet: (2019)

Alumni opportunities using machine learning
af: Siaum, Arshif Sharlimin, et al.
Udgivet: (2019)

Public vehicle ETA system using machine learning
af: Kabir, Md. Miraz, et al.
Udgivet: (2018)

Predicting depression in Bangladeshi undergraduates using machine learning
af: Choudhury, Ahnaf Atef, et al.
Udgivet: (2019)

Machine learning as an indicator for breast cancer prediction
af: Shadman, Tahsin Mohammed, et al.
Udgivet: (2019)

A new pattern recognition method for abnormal event detection in crowded scenarios
af: Mostafa, Tahjid Ashfaque
Udgivet: (2017)

Fake news pattern recognition using linguistic analysis
af: Dey, Amitabha, et al.
Udgivet: (2018)

A framework for sentiment analysis: a data-driven approach
af: Islam, Md. Jahedul, et al.
Udgivet: (2021)

Machine learning engineering /
af: Burkov, Andriy
Udgivet: (2020)

Foundations of machine learning /
af: Mohri, Mehryar, et al.
Udgivet: (2018)

Analysis of the impact of online education using EEG signals and machine learning algorithms
af: Hoque, Ehsanul, et al.
Udgivet: (2021)

Implementing machine learning techniques to forecast floods In Bangladesh based on historical data
af: Toufique, S.M, et al.
Udgivet: (2024)

A machine learning approach to detect depression and anxiety using supervised learning
af: Ullas, Md Tahmidur Rahman, et al.
Udgivet: (2019)

Genetic algorithms in search, optimization, and machine learning /
af: Goldberg, David E. (David Edward), 1953-
Udgivet: (1989)

Pattern-oriented software architecture : on patterns and pattern languages /
af: Buschmann, Frank
Udgivet: (2007)

Predicting climate induced floods using machine learning
af: Saleh, Chowdhury Nafis, et al.
Udgivet: (2022)

The influence of neuromarketing: machine learning based empirical analysis
af: Muktadir, MD. Abdullah Al, et al.
Udgivet: (2024)

Crop prediction based on geographical and climatic data using machine learning and deep learning
af: Alif, Al Amin, et al.
Udgivet: (2019)

The hundred-page machine learning /
af: Burkov, Andriy
Udgivet: (2019)

Machine learning for stress prediction
af: Salehin, Sherajus, et al.
Udgivet: (2023)

Environmental monitoring with the help of Internet of Things (loT) and machine learning
af: Alam, Md. Sakirul, et al.
Udgivet: (2021)

Blood donation application with implementation of machine learning
af: Diba, Sadia Nadira
Udgivet: (2018)

Mobile sensors based human activity recognition using machine learning with explainable ML
af: Rahman, Raihan, et al.
Udgivet: (2021)

Human Activity Recognition using wearable body sensor by machine learning approach
af: Promi, Sadia Tangim, et al.
Udgivet: (2020)

Predictive location generation using machine learning approach
af: Hasan, S.A.M Khaled, et al.
Udgivet: (2018)

Hand gesture recognition using ensemble method
af: Kowsar, Sahib, et al.
Udgivet: (2023)