Support vector machines: theory and applications /

Support vector machines: theory and applications /

Xehetasun bibliografikoak
Beste egile batzuk:	Wang, Lipo
Formatua:	Liburua
Hizkuntza:	English
Argitaratua:	Berlin : Springer, 2005.
Saila:	Studies in fuzziness and soft computing, volume 177
Gaiak:	Support vector machines. Data mining. Computer science. Pattern recognition systems.
Classic Catalogue:	View this record in Classic Catalogue

Antzeko izenburuak

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

Pattern classification /
nork: Duda, Richard O.

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

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

Prediction of Epileptic Seizures using digital signal processing and support vector machine
nork: Siddique, Nusayer Masud, et al.
Argitaratua: (2021)

Detection of epileptic seizure using Support Vector Machine Classifier - extracted features from EEG signals
nork: Amiz, Asef Hassan, et al.
Argitaratua: (2021)

Aspect based opinion mining on restaurant reviews
nork: Tonmoy, Sazid Hasan, et al.
Argitaratua: (2024)

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

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

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

Yield prediction for precision agriculture using extreme gradient boosting and support vector regression
nork: Ahmed, Md. Sabbir, et al.
Argitaratua: (2021)

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

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

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

Data analysis on the Bangladesh share market using Machine-Learning
nork: Sadman, Syed Hassan, et al.
Argitaratua: (2021)

Detecting Adverse Drug Reaction (ADR) with data mining and predicting its intensity with machine learning
nork: Hussain, Nadib, et al.
Argitaratua: (2018)

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

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

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

Foundations of machine learning /
nork: Mohri, Mehryar, et al.
Argitaratua: (2018)

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

Grouping of handwritten Bangla basic characters, numerals and vowel modifiers for multilayer classification
nork: Reza, Khondker Nayef, et al.
Argitaratua: (2017)

Detection of fake identities on twitter using supervised machine learning
nork: Rahman, MD. Takiur, et al.
Argitaratua: (2019)

Performance analysis of machine learning classi ers for detecting PE malware
nork: Azmee, ABM.Adnan, et al.
Argitaratua: (2020)

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

A new approach to select adaptive Intrinsic Mode Functions (IMFs) of Empirical Mode Decomposition (EMD)
nork: Sultana Nishi, Razia, et al.
Argitaratua: (2016)

Cyberbullying detection using sentiment analysis in social media
nork: Sintaha, Mifta, et al.
Argitaratua: (2016)

Credit card fraud detection using machine learning techniques
nork: Kabir, Tasmia, et al.
Argitaratua: (2021)

Pattern recognition and machine learning /
nork: Bishop, Christopher M.
Argitaratua: (2006)

Vector calculus /
nork: Colley, Susan Jane
Argitaratua: (2012)

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

The Data Science Design Manual /
nork: Skiena, Steven S.
Argitaratua: (2017)

Neural networks for pattern recognition /
nork: Bishop, Christopher M.
Argitaratua: (1995)

Comparative study of toxic comments classification using machine learning algorithms
nork: Razzak, Razia, et al.
Argitaratua: (2021)

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

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

Market basket analysis for improving the effectiveness of marketing and sales using Apriori, FP Growth and Eclat Algorithm
nork: Khan, Mohammod Akib, et al.
Argitaratua: (2017)

Travel time prediction using machine learning and weather impact on traffic conditions
nork: Deb, Bilash, et al.
Argitaratua: (2018)

Deep learning /
nork: Goodfellow, Ian
Argitaratua: (2016)

Handwritten character recognition and prediction of age, gender and handedness using machine learning
nork: Al Emran, Md., et al.
Argitaratua: (2018)