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

Lee, KH; Kang, Byeong

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

conference contribution

posted on 2023-05-23, 03:07 authored by Lee, KH, Byeong KangByeong Kang

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History

Publication title

Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC2004)

Editors

Deeber Azada

Pagination

EJ

Department/School

School of Information and Communication Technology

Publisher

IEEE Society

Place of publication

Las Vegas, Nevada

Event title

Information Technology: Coding and Computing (ITCC2004)

Event Venue

Las Vegas, Nevada

Date of Event (Start Date)

2004-04-05

Date of Event (End Date)

2004-04-07

Repository Status

Restricted

Socio-economic Objectives

Information systems, technologies and services not elsewhere classified

Usage metrics

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

History

Publication title

Editors

Pagination

Department/School

Publisher

Place of publication

Event title

Event Venue

Date of Event (Start Date)

Date of Event (End Date)

Repository Status

Socio-economic Objectives

Usage metrics

Categories

Keywords

Licence

Exports