Search Results - (( java implication _ algorithm ) OR ( using task ((using algorithm) OR (learning algorithm)) ))
Search alternatives:
- learning algorithm »
- java implication »
- using algorithm »
- using task »
-
1
Case Slicing Technique for Feature Selection
Published 2004“…Case Slicing Technique (CST) helps in identifying the subset of features used in computing the similarity measures needed by classification algorithms. …”
Get full text
Get full text
Thesis -
2
Semi-supervised learning for feature selection and classification of data / Ganesh Krishnasamy
Published 2019“…The proposed algorithm is compared with the state-of-the-art feature selection algorithms using three different datasets. …”
Get full text
Get full text
Get full text
Thesis -
3
An improved artificial bee colony algorithm for training multilayer perceptron in time series prediction
Published 2014“…Furthermore, here these algorithms used to train the MLP on two tasks; the seismic event's prediction and Boolean function classification. …”
Get full text
Get full text
Get full text
Thesis -
4
A harmony search-based learning algorithm for epileptic seizure prediction
Published 2016“…The proposed harmony search-based learning algorithm is used in the task of epileptic seizure prediction. …”
Get full text
Get full text
Article -
5
Functional link neural network with modified bee-firefly learning algorithm for classification task
Published 2016“…To overcome this, a Functional Link Neural Networks (FLNN) which has a single layer of trainable connection weights is used. The single layer property of FLNN also make the learning algorithm used less complicated compared to MLP network. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
6
The implications for ahybrid detection technique against malicious sqlattacks on web applications
Published 2025“…The outcome of this study will add to the body of knowledge the most important and recent proposed solutions to mitigate SQL injection attack, in particular those based on machine learning algorithm…”
Get full text
Get full text
Get full text
Article -
7
Autism Spectrum Disorder Classification Using Deep Learning
Published 2021“…Recently, deep learning methods have significantly sharpened the cutting edge of learning algorithms in a wide range of artificial intelligence tasks. …”
Get full text
Get full text
Get full text
Get full text
Article -
8
Training functional link neural network with ant lion optimizer
Published 2020“…This paper proposed the implementation of Ant Lion Algorithm as learning algorithm to train the FLNN for classification tasks. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
9
Brain machine interfaces: recognition of mental tasks using neural networks and PSO learning algorithms / Hema C.R. ...[et al.]
Published 2009“…Two neural network architectures using a novel particle swarm optimization (PSO) learning algorithm is studied. …”
Get full text
Get full text
Get full text
Article -
10
Modeling time series data using Genetic Algorithm based on Backpropagation Neural network
Published 2018“…This study showed the task of optimizing the topology structure and the parameter values (e.g., weights) used in the BPNN learning algorithm by using the GA. …”
Get full text
Get full text
Thesis -
11
Optimization Of Two-Dimensional Dual Beam Scanning System Using Genetic Algorithms
Published 2008“…Also, this research involves in developing a machine-learning system and program via genetic algorithm that is capable of performing independent learning capability and optimization for scanning sequence using novel GA operators. …”
Get full text
Get full text
Thesis -
12
State Revenue Prediction Dashboard using Machine Learning Algorithm
Published 2022“…This report serves as documentation for the State Revenue Prediction Dashboard utilizing Machine Learning algorithm project. State revenue is used to finance the operation of the government. …”
Get full text
Get full text
Final Year Project -
13
A literature research on machine learning techniques used for training annotated corpus
Published 2019“…Various algorithms are used to perform tasks. The purpose of this survey is to find out algorithms that are often used by researchers to perform annotation tasks, especially on text data. …”
Get full text
Get full text
Get full text
Article -
14
Talent classification using support vector machine technique / Hamidah Jantan, Norazmah Mat Yusof and Mohd Hanapi Abdul Latif
Published 2014“…The objective of this study is to suggest the potential classification model for talent forecasting throughout some experiments using SVM learning algorithm. In the experimental phase, we use employee’s performance data from selected organization to develop talent classification model which can be used to handle some tasks in talent management. …”
Get full text
Get full text
Research Reports -
15
-
16
An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…In the second phase, a classifier ensemble learning model is proposed consisting of separate outputs: (i) To select a relevant subset of original features based on Binary Quantum Gravitational Search Algorithm (QBGSA), (ii) To mine data streams using various data chunks and overcome a failure of single classifiers based on SVM, MLP and K-NN algorithms. …”
Get full text
Get full text
Thesis -
17
BAT-BP: A new BAT based back-propagation algorithm for efficient data classification
Published 2016“…Training neural networks particularly back propagation algorithm is a complex task of great importance in the field of supervised learning. …”
Get full text
Get full text
Article -
18
A review of object detection in traffic scenes based on deep learning
Published 2024“…It introduces techniques for optimizing object detection algorithms, summarizes commonly used object detection datasets and traffic scene datasets, along with evaluation criteria, and performs comparative analysis of the performance of deep learning algorithms. …”
Get full text
Get full text
Get full text
Article -
19
Hybrid Henry Gas-Harris Hawks comprehensive-opposition algorithm for task scheduling in cloud computing
Published 2025“…The HHO algorithm was employed as a local search strategy in this suggested algorithm to improve the quality of authorized solutions. …”
Get full text
Get full text
Get full text
Article -
20
An ensemble data summarization approach based on feature transformation to learning relational data
Published 2015“…The experimental results obtained show some improvements on the predictive accuracy tasks when using the clustering results obtained. …”
Get full text
Get full text
Get full text
Thesis