Support vector machines: theory and applications /

Support vector machines: theory and applications /

Détails bibliographiques
Autres auteurs:	Wang, Lipo
Format:	Livre
Langue:	English
Publié:	Berlin : Springer, 2005.
Collection:	Studies in fuzziness and soft computing, volume 177
Sujets:	Support vector machines. Data mining. Computer science. Pattern recognition systems.
Classic Catalogue:	View this record in Classic Catalogue

Documents similaires

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

Pattern classification /
par: Duda, Richard O.

A machine learning approach to detect depression and anxiety using supervised learning
par: Ullas, Md Tahmidur Rahman, et autres
Publié: (2019)

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

Prediction of Epileptic Seizures using digital signal processing and support vector machine
par: Siddique, Nusayer Masud, et autres
Publié: (2021)

Detection of epileptic seizure using Support Vector Machine Classifier - extracted features from EEG signals
par: Amiz, Asef Hassan, et autres
Publié: (2021)

Aspect based opinion mining on restaurant reviews
par: Tonmoy, Sazid Hasan, et autres
Publié: (2024)

Supervising vehicle using pattern recognition
par: Lushan, Mihodi Hasan, et autres
Publié: (2018)

Handwritten Bangla character recognition to braille pattern conversion using image processing and machine learning
par: Abir, Tawhidur Rahman, et autres
Publié: (2019)

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

Yield prediction for precision agriculture using extreme gradient boosting and support vector regression
par: Ahmed, Md. Sabbir, et autres
Publié: (2021)

Decision support systems in the 21st century /
par: Marakas, George M.
Publié: (2003)

Decision support systems in the twenty-first century /
par: Marakas, George M.
Publié: (1999)

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

Data analysis on the Bangladesh share market using Machine-Learning
par: Sadman, Syed Hassan, et autres
Publié: (2021)

Detecting Adverse Drug Reaction (ADR) with data mining and predicting its intensity with machine learning
par: Hussain, Nadib, et autres
Publié: (2018)

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

Where will you setup your business next?: a machine learning approach to suggest ideal geographical location for new restaurant establishment
par: Shihab, Ibne Farabi, et autres
Publié: (2018)

Study on human emotion based on facial expressions through human machine communication
par: Murshed, Tahmin Aysha, et autres
Publié: (2021)

Foundations of machine learning /
par: Mohri, Mehryar, et autres
Publié: (2018)

Gene classification and pattern analysis using data mining and machine learning techniques
par: Ramisa, Aiman Jabeen, et autres
Publié: (2021)

Grouping of handwritten Bangla basic characters, numerals and vowel modifiers for multilayer classification
par: Reza, Khondker Nayef, et autres
Publié: (2017)

Detection of fake identities on twitter using supervised machine learning
par: Rahman, MD. Takiur, et autres
Publié: (2019)

Performance analysis of machine learning classi ers for detecting PE malware
par: Azmee, ABM.Adnan, et autres
Publié: (2020)

Predicting depression in Bangladeshi undergraduates using machine learning
par: Choudhury, Ahnaf Atef, et autres
Publié: (2019)

A new approach to select adaptive Intrinsic Mode Functions (IMFs) of Empirical Mode Decomposition (EMD)
par: Sultana Nishi, Razia, et autres
Publié: (2016)

Cyberbullying detection using sentiment analysis in social media
par: Sintaha, Mifta, et autres
Publié: (2016)

Credit card fraud detection using machine learning techniques
par: Kabir, Tasmia, et autres
Publié: (2021)

Pattern recognition and machine learning /
par: Bishop, Christopher M.
Publié: (2006)

Vector calculus /
par: Colley, Susan Jane
Publié: (2012)

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

The Data Science Design Manual /
par: Skiena, Steven S.
Publié: (2017)

Neural networks for pattern recognition /
par: Bishop, Christopher M.
Publié: (1995)

Comparative study of toxic comments classification using machine learning algorithms
par: Razzak, Razia, et autres
Publié: (2021)

Schaum's outline of theory and problems of vector analysis and an introduction to tensor analysis /
par: Spiegel, Murray R.
Publié: (1974)

A machine learning approach to predict young voter enthusiasm based on non-political factors
par: Rahman, Md. Nowroz Junaed, et autres
Publié: (2021)

Market basket analysis for improving the effectiveness of marketing and sales using Apriori, FP Growth and Eclat Algorithm
par: Khan, Mohammod Akib, et autres
Publié: (2017)

Travel time prediction using machine learning and weather impact on traffic conditions
par: Deb, Bilash, et autres
Publié: (2018)

Deep learning /
par: Goodfellow, Ian
Publié: (2016)

Handwritten character recognition and prediction of age, gender and handedness using machine learning
par: Al Emran, Md., et autres
Publié: (2018)