Enhancement to Selective Incremental Approach for Transductive Nearest Neighbour Classification - Image 1

£58.89

GRIN Verlag Enhancement to Selective Incremental Approach for Transductive Nearest Neighbour Classification

Name: Enhancement to Selective Incremental Approach for Transductive Nearest Neighbour Classification
Brand: GRIN Verlag
Price: 58.9 GBP
Availability: InStock

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Master's Thesis from the year 2012 in the subject Computer Science - Didactics, , course: COMPUTER SCIENCE & ENGINEERING, language: English, abstract: During the last years, semi-supervised learning has emerged as an exciting new direction in machine learning research. It is closely related to profound issues of how to do inference from data, as witnessed by its overlap with transductive inference. Semi-Supervised learning is the half-way between Supervised and Unsupervised Learning. In this majority of the patterns are unlabelled, they are present in Test set and knowed labeled patterns are present in Training set. Using these training set, we assign the labels for test set. Here our Proposed method is using Nearest Neighbour Classifier for Semi-Supervised learning we can label the unlabelled patterns using the labeled patterns and then compare these method with the traditionally Existing methods as graph mincut, spectral graph partisan, ID3,Nearest Neighbour Classifier and we are going to prove our Proposed method is more scalable than the Existing methods and reduce time complexity of SITNNC(Selective Incremental Approach for Transductive Nearest Neighbour Classifier) using Leaders Algorithm.

Product Specifications

Brand: GRIN Verlag
Format: paperback
ASIN: 3656342504
Category: Books > Subjects > Calendars, Diaries & Annuals
Domain: Amazon UK
Release Date: 31 December 2012
Listed Since: 09 January 2013

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GRIN Verlag Enhancement to Selective Incremental Approach for Transductive Nearest Neighbour Classification

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