<--- Back to Details
First PageDocument Content
Regression analysis / Information retrieval / Support vector machine / Cross-validation / Logistic regression / Kernel methods / Training set / Text Retrieval Conference / Linear classifier / Statistics / Machine learning / Statistical classification
Date: 2006-02-21 09:28:33
Regression analysis
Information retrieval
Support vector machine
Cross-validation
Logistic regression
Kernel methods
Training set
Text Retrieval Conference
Linear classifier
Statistics
Machine learning
Statistical classification

Add to Reading List

Source URL: trec.nist.gov

Download Document from Source Website

File Size: 78,19 KB

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