A HYBRID APPROACH OF ACTIVE LEARNING USING SVM AND N - GRAM TECHNIQUE
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 4, Issue 6
Abstract
Active learning is an important subject in data mining and machine learning, which has been studied extensively and has a wide range of applications. Learning based on association rules, also called rule based learning, is a technique that uses association rules learning and taking proper decision. Heterogeneous DTC employs a novel data structure, association rule, to compactly store and efficiently retrieve a large number of rules for learning. We consider an active learning scenario in which the superviso r (trainer) can make decisions regarding the possibility to choose new examples for learning. In the classical forms of supervised learning, the training set is chosen according to some known or random given distribution. The supervisor is a passive agent in the sense that he is not able to interact with the training set in order to improve the performances of the learning process. In this paper hybrid approach that use N - gram with SVM has been proposed. Hybrid approach lead formal manner to learn “difficu lt learning” and “easy learning” related to the training data set.
Authors and Affiliations
Pravesh Kumar Dwivedi , Anurag Jain , Sanjay Pal
Keywords
Related Articles
- EP ID EP142959
- DOI -
- Views 71
- Downloads 0
ANALYSIS OF WATER QUALITY OF DCM INDUSTRIAL AREA KOTA AND THEIR STATSTICAL DETAILS
Contamination of groundwater due to total coli and TDS is an area of concern for local, regional and global levels. Keeping in view industrial significance of Kota, present study is designed to assess groundwater...
Image Enhancement through Discrete and Stationary Wavelet Transforms
In this correspondence, an image resolution enhancement technique based on interpolation of the high frequency subband images obtained by discrete wavelet transform (DWT) and the input image. The edges are enhanced by...
A State of Art Literature Review on Direct Displacement-Based Design for Seismic Structural Analysis
Earthquakes are one of the most disastrous forces which cannot be stopped or prevented but their effects can be minimized with minimal causalities’ of lives and structural damages. Over the past decade, analysis a...
Analysis of Finite Element Modeling of Magnetic Flux Leakage Technique in Plates with Defect
In the area of non destructive testing ultrasonic testing using wave propagation is an emerging field. Ultrasonic testing uses transmission of high frequency sound waves into a material to object and reflections (...
Automation of Inter-Networked Banking and Teller Machine Operations Using Face Recognition
In this article about biometric systems the general idea is to use of facial recognition to reinforce security on one of the oldest and most secure piece of technology that is still in use to date thus an Automati...