<--- Back to Details
First PageDocument Content
Data analysis / Data mining / K-nearest neighbor algorithm / Naive Bayes classifier / Support vector machine / Artificial neural network / Statistics / Statistical classification / Machine learning
Date: 2014-09-29 11:42:37
Data analysis
Data mining
K-nearest neighbor algorithm
Naive Bayes classifier
Support vector machine
Artificial neural network
Statistics
Statistical classification
Machine learning

Microsoft PowerPoint - DM04-Classification-1-FSS2014-V1 [Kompatibilitätsmodus]

Add to Reading List

Source URL: dws.informatik.uni-mannheim.de

Download Document from Source Website

File Size: 2,10 MB

Share Document on Facebook

Similar Documents

Support Vector Machine Mohammad Emtiyaz Khan EPFL Oct 29, 2015

DocID: 1uEDY - View Document

Support Vector Machines and Kernel Methods Shrey Gupta Applied Machine Learning (HOUSECS 59-01), Duke University October 10, 2018

DocID: 1uA0f - View Document

Robust Truncated Hinge Loss Support Vector Machines Yichao W U and Yufeng L IU The support vector machine (SVM) has been widely applied for classification problems in both machine learning and statistics. Despite its pop

DocID: 1uuGd - View Document

Support Vector Machine for Anti-Pattern Detection Abdou Maiga1,3 , Nasir Ali1,2 , Neelesh Bhattacharya1,2 , Aminata Sabané1,2 Yann-Gaël Guéhéneuc1 , Giuliano Antoniol2 , and Esma Aimeur3 1 Ptidej Team, DGIGL, École

DocID: 1tZPb - View Document

Support Vector Machine Mohammad Emtiyaz Khan EPFL Oct 29, 2015

DocID: 1tVBH - View Document