Tracking Concept Drift at Feature Selection Stage in SpamHunting: An Anti-Spam Instance-Based Reasoning System

Lecture Notes in Computer Science - Germany
doi 10.1007/11805816_37
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer Berlin Heidelberg

Related search

A Pre-Reasoning Based Method for Service Discovery and Service Instance Selection in Service Grid Environments

2007English

A Pre-Reasoning Based Method for Service Discovery and Service Instance Selection in Service Grid Environments

2007English

Visual Tracking Based on an Improved Online Multiple Instance Learning Algorithm

Computational Intelligence and Neuroscience
MedicineMathematicsComputer ScienceNeuroscience
2016English

Relevant SMS Spam Feature Selection Using Wrapper Approach and XGBoost Algorithm

Kurdistan Journal of Applied Research
2019English

A Technique to Combine Feature Selection With Instance Selection for Effective Bug Triage

International Journal of Science and Research (IJSR)
2015English

Toward Spam 2.0: An Evaluation of Web 2.0 Anti-Spam Methods

2009English

An Incremental Approach to Mse-Based Feature Selection

International Journal of Computational Intelligence and Applications
Theoretical Computer ScienceComputer Science ApplicationsSoftware
2006English

Patch Based Multiple Instance Learning Algorithm for Object Tracking

Computational Intelligence and Neuroscience
MedicineMathematicsComputer ScienceNeuroscience
2017English

Revisiting Multiple-Instance Learning via Embedded Instance Selection

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2008English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy