eCite Digital Repository

A New Framework for Uncertainty Sampling: Exploiting Uncertain and Positive-Certain Examples in Similarity-Based Text Classification

Citation

Lee, KH and Kang, BH, A New Framework for Uncertainty Sampling: Exploiting Uncertain and Positive-Certain Examples in Similarity-Based Text Classification, Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC2004), April 5-7, 2004, Las Vegas, Nevada EJ (2004) [Refereed Conference Paper]

Item Details

Item Type:Refereed Conference Paper
Research Division:Information and Computing Sciences
Research Group:Library and Information Studies
Research Field:Information Retrieval and Web Search
Objective Division:Information and Communication Services
Objective Group:Computer Software and Services
Objective Field:Information Processing Services (incl. Data Entry and Capture)
Author:Kang, BH (Professor Byeong Kang)
ID Code:29655
Year Published:2004
Deposited By:Computing
Deposited On:2004-08-01
Last Modified:2005-05-13
Downloads:0

Repository Staff Only: item control page