Kernel methods for pattern analysis /

Kernel methods for pattern analysis /

Opis bibliograficzny
1. autor:	Shawe-Taylor, John
Kolejni autorzy:	Cristianini, Nello
Format:	Książka
Język:	English
Wydane:	Cambridge, UK ; New York : Cambridge University Press, 2004 [fourth printing 2009].
Hasła przedmiotowe:	Machine learning. Algorithms. Kernel functions. Pattern perception > Data processing.
Classic Catalogue:	View this record in Classic Catalogue

Podobne zapisy

An introduction to support vector machines : and other kernel-based learning methods /
od: Cristianini, Nello
Wydane: (2000)

Pattern recognition and machine learning /
od: Bishop, Christopher M.
Wydane: (2006)

Verifying online signatures through an iterative device independent model
od: Tahsin, Samiha, i wsp.
Wydane: (2024)

Efficient and effective automated surveillance agents using kernel tricks
od: Ahmed, Tarem, i wsp.
Wydane: (2016)

Supervising vehicle using pattern recognition
od: Lushan, Mihodi Hasan, i wsp.
Wydane: (2018)

Multi images retrieved for automatic intruder detection using kernel-based learning algorithm
od: Shahrear, S.M Fardin, i wsp.
Wydane: (2016)

Gene classification and pattern analysis using data mining and machine learning techniques
od: Ramisa, Aiman Jabeen, i wsp.
Wydane: (2021)

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

Study on human emotion based on facial expressions through human machine communication
od: Murshed, Tahmin Aysha, i wsp.
Wydane: (2021)

Education content provider based on particular weaknesses of students: a unsupervised machine learning appro
od: Rahman, Shabab Intishar, i wsp.
Wydane: (2024)

Cyberbullying detection using sentiment analysis in social media
od: Sintaha, Mifta, i wsp.
Wydane: (2016)

Handwritten Bangla character recognition to braille pattern conversion using image processing and machine learning
od: Abir, Tawhidur Rahman, i wsp.
Wydane: (2019)

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

Market basket analysis for improving the effectiveness of marketing and sales using Apriori, FP Growth and Eclat Algorithm
od: Khan, Mohammod Akib, i wsp.
Wydane: (2017)

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

Machine Learning /
od: Mitchell, Tom M. (Tom Michael), 1951-
Wydane: (1997)

Predicting criminal activities analyzing video signal using machine learning
od: Sadman, Syed Md., i wsp.
Wydane: (2021)

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

A framework for sentiment analysis: a data-driven approach
od: Islam, Md. Jahedul, i wsp.
Wydane: (2021)

Comparative analysis between machine learning algorithms in efficiency of Coronary Heart Disease (CHD) prediction
od: Oishi, Fayza Rezwana, i wsp.
Wydane: (2020)

Bangla speech recognition using 1D CNN and LSTM with different dimension reduction techniques
od: Nirjhor, S M Mahsanul Islam, i wsp.
Wydane: (2019)

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

Smart biomedical device to predict lung diseases, COVID-19 and diabetes by using machine learning algorithms
od: Hossain, Ashraful, i wsp.
Wydane: (2024)

Crowd source based traffic analysis using machine learning algorithm
od: Orthy, Marzia Khan, i wsp.
Wydane: (2018)

Approaching (almost) any Machine learning problem /
od: Thakur, Abhishek
Wydane: (2020)

Foundations of machine learning /
od: Mohri, Mehryar, i wsp.
Wydane: (2018)

Subjectivity analysis using machine learning algorithm
od: Ahmed, Erfan, i wsp.
Wydane: (2017)

Automata, computability and complexity : theory and applications /
od: Rich, Elaine
Wydane: (2008)

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

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

Analysing Facebook user risk using machine learning algorithm
od: Barua, Arnab, i wsp.
Wydane: (2021)

Urban pattern recognition from multi-spectral satellite images and flood prediction using machine learning models
od: Tasnia, Rifah, i wsp.
Wydane: (2024)

Prediction of coronary heart diseases using supervised machine learning algorithms
od: Salam, Nazia Binte, i wsp.
Wydane: (2023)

An implementation and analysis of deep learning models for the detection of wheat diseases
od: Zubair, Ahmad, i wsp.
Wydane: (2024)

Detection of fake identities on twitter using supervised machine learning
od: Rahman, MD. Takiur, i wsp.
Wydane: (2019)

Pattern classification /
od: Duda, Richard O.

Pattern cutting made easy : a step by step introduction /
od: Holman, Gillian
Wydane: (1997)

A machine learning approach on classifying orthopedic patients based on their biomechanical features
od: Hasan, Kamrul, i wsp.
Wydane: (2018)

A counseling system to predict the study path for freshmen
od: Usha, Rowshni Tasneem, i wsp.
Wydane: (2019)

Polycystic ovary syndrome detection using neural network.
od: Istiyaq, Tahsin, i wsp.
Wydane: (2024)