Search Results - (( using vector method algorithm ) OR ( _ classification problems algorithm ))
Search alternatives:
- method algorithm »
- _ classification »
- vector method »
- problems »
-
1
Document classification based on kNN algorithm by term vector space reduction
Published 2023Conference Paper -
2
Thematic textual hadith classification: an experiment in rapidminer using support vector machine (SVM) and naïve bayes algorithm
Published 2020“…The classification for this thematic Hadith dataset is implemented using Rapidminer, a machine learning tool using Naïve Bayes and Support Vector Machine (SVM) methods. …”
Get full text
Get full text
Get full text
Get full text
Article -
3
Formulating new enhanced pattern classification algorithms based on ACO-SVM
Published 2013“…ACO originally deals with discrete optimization problem.In applying ACO for solving SVM model selection problem which are continuous variables, there is a need to discretize the continuously value into discrete values.This discretization process would result in loss of some information and hence affects the classification accuracy and seeking time.In this algorithm we propose to solve SVM model selection problem using IACOR without the need to discretize continuous value for SVM.The second algorithm aims to simultaneously solve SVM model selection problem and selects a small number of features.SVM model selection and selection of suitable and small number of feature subsets must occur simultaneously because error produced from the feature subset selection phase will affect the values of SVM model selection and result in low classification accuracy.In this second algorithm we propose the use of IACOMV to simultaneously solve SVM model selection problem and features subset selection.Ten benchmark datasets were used to evaluate the proposed algorithms.Results showed that the proposed algorithms can enhance the classification accuracy with small size of features subset.…”
Get full text
Get full text
Get full text
Article -
4
Extremal region detection and selection with fuzzy encoding for food recognition
Published 2019“…The first algorithm locates interest points in food images using an MSER. …”
Get full text
Get full text
Thesis -
5
Support directional shifting vector: A direction based machine learning classifier
Published 2021“…The classification performance varies based on the dataset velocity and the algorithm selection. …”
Get full text
Get full text
Get full text
Article -
6
A new classifier based on combination of genetic programming and support vector machine in solving imbalanced classification problem
Published 2016“…There are two methods in dealing with imbalanced classification problem, which are based on data or algorithmic level. …”
Get full text
Get full text
Get full text
Thesis -
7
Enhancement of new smooth support vector machines for classification problems
Published 2011“…Research on Smooth Support Vector Machine (SSVM) for classification problem is an active field in data mining. …”
Get full text
Get full text
Thesis -
8
Talent classification using support vector machine technique / Hamidah Jantan, Norazmah Mat Yusof and Mohd Hanapi Abdul Latif
Published 2014“…Due to that reason, this study attempts to use SVM algorithm on employee’s performance databases for talent classification. …”
Get full text
Get full text
Research Reports -
9
Application of Optimization Methods for Solving Clustering and Classification Problems
Published 2011“…Then a review of different methods currently available that can be used to solve clustering and classification problems is also given. …”
Get full text
Get full text
Thesis -
10
A modified weighted support vector machine (WSVM) to reduce noise data in classification problem
Published 2021“…Classification refers to a predictive modeling problem where a class label is predicted for a given example of input data. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
11
A modified weighted support vector machine (WSVM) to reduce noise data in classification problem
Published 2021“…Classification refers to a predictive modeling problem where a class label is predicted for a given example of input data. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
12
Autism Spectrum Disorder Classification Using Deep Learning
Published 2021“…However, there is a need to explore more algorithms that can yield better classification performance. …”
Get full text
Get full text
Get full text
Get full text
Article -
13
Improved TLBO-JAYA Algorithm for Subset Feature Selection and Parameter Optimisation in Intrusion Detection System
Published 2020“…The proposed method combined the improved teaching-learning-based optimisation (ITLBO) algorithm, improved parallel JAYA (IPJAYA) algorithm, and support vector machine. …”
Get full text
Get full text
Get full text
Article -
14
Gender identification using support vector machines
Published 2023“…It is one of the recent methods for statistical learning and also addresses classification and regression problems. …”
text::Thesis -
15
Logistic regression methods for classification of imbalanced data sets
Published 2012“…These results can be seen as further explanation on the success of Truncated Newton method in TR-KLR and TR Iteratively Re-weighted Least Square (TR-IRLS) algorithm respectively, because of the equivalence of iterative method used by these algorithms. …”
Get full text
Get full text
Thesis -
16
Enhancing Classification Algorithms with Metaheuristic Technique
Published 2024“…Implementing this process uses classification algorithms such asNaïve Bayes, Support Vector Machine,and Random Forest. …”
Get full text
Get full text
Get full text
Article -
17
Hand gesture recognition for autism diagnosis using Support Vector Machine (SVM) Algorithm / Muhammad Asyraf Mohamad Zain
Published 2020“…For the future work, this system need to be improved by using dataset that are related to the ASD and by using other classification algorithm.…”
Get full text
Get full text
Thesis -
18
Pattern Recognition for Human Diseases Classification in Spectral Analysis
Published 2022“…On the other hand, classification methods are techniques or algorithms used to group samples into a predetermined category. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Article -
19
Supervised ANN classification for engineering machined textures based on enhanced features extraction and reduction scheme
Published 2013“…Secondly reducing the numbers of extracted features vector using the concept of Principal Component Analysis (PCA) for features selection and vectors dimensionality reduction. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
20
Predicting Customer Buying Decisions for Online Shopping with Unbalanced Data Set
Published 2022“…Weka, a data mining tool, provides the facility to classify the data set with different machine learning algorithms. Six machine learning algorithms were applied and compared based on the classification evaluation methods. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis
