Search Results - (( using optimization methods algorithm ) OR ( automatic classification learning algorithm ))
Search alternatives:
- automatic classification »
- classification learning »
- optimization methods »
- learning algorithm »
- methods algorithm »
-
1
An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…A well known task is classification that predicts the class of new instances using known features or attributes automatically. …”
Get full text
Get full text
Thesis -
2
Automatic Segmentation and Classification of Skin Lesions in Dermoscopic Images
Published 2024“…The second segmentation algorithm combines Delaunay triangulation clustering in the spatial domain and Particle Swarm Optimization (PSO). …”
Get full text
Get full text
Get full text
Get full text
Thesis -
3
Identifying diseases and diagnosis using machine learning
Published 2023“…Multi-dimensional and high dimensional are used in machine learning. By using machine learning automatic and classy algorithms can build. � BEIESP.…”
Article -
4
Automated feature selection using boruta algorithm to detect mobile malware
Published 2020“…Boruta algorithm is used to select features automatically for assisting the machine learning. …”
Get full text
Get full text
Get full text
Article -
5
Analysis Of Personal Protective Equipment Classification Method Using Deep Learning
Published 2022“…Based on the result, CNN algorithm is a good algorithm as the binary classification of PPE achieved high accuracy result.…”
Get full text
Get full text
Undergraduates Project Papers -
6
Context-driven satire detection with deep learning
Published 2022“…Finally, the combined feature sets undergoes the classification using well-known machine learning classification algorithms. …”
Get full text
Get full text
Article -
7
Multi-class classification automated machine learning for predicting earthquakes using global geomagnetic field data
Published 2025“…The extracted features were the input for AutoML, an automatic algorithm selection that was measured by Bayesian Optimization algorithm to select the best performance model. …”
Get full text
Get full text
Get full text
Article -
8
Enhanced extreme learning machine for general regression and classification tasks
Published 2020“…Extreme Learning Machine (ELM) is a single hidden layer feedforward neural network which randomly chooses hidden nodes and analytically determines the output weights using least square method. …”
Get full text
Get full text
Thesis -
9
A joint Bayesian optimization for the classification of fine spatial resolution remotely sensed imagery using object-based convolutional neural networks
Published 2022“…A Bayesian technique was used to find the best parameters for the multiresolution segmentation (MRS) algorithm while the CNN model learns the image features at different layers, achieving joint optimization. …”
Get full text
Get full text
Article -
10
Towards a better feature subset selection approach
Published 2010“…The selection of the optimal features subset and the classification has become an important issue in the data mining field.We propose a feature selection scheme based on slicing technique which was originally proposed for programming languages.The proposed approach called Case Slicing Technique (CST).Slicing means that we are interested in automatically obtaining that portion 'features' of the case responsible for specific parts of the solution of the case at hand.We show that our goal should be to eliminate the number of features by removing irrelevant once.Choosing a subset of the features may increase accuracy and reduce complexity of the acquired knowledge.Our experimental results indicate that the performance of CST as a method of feature subset selection is better than the performance of the other approaches which are RELIEF with Base Learning Algorithm (C4.5), RELIEF with K-Nearest Neighbour (K-NN), RELIEF with Induction of Decision Tree Algorithm (ID3) and RELIEF with Naïve Bayes (NB), which are mostly used in the feature selection task.…”
Get full text
Get full text
Get full text
Conference or Workshop Item -
11
Automatic email classification system / Phang Siew Ting
Published 2003“…Automatic Email Classification System is an email reader tool that implements machine learning algorithm in email classification, manipulated by a Graphical User Interface. …”
Get full text
Get full text
Thesis -
12
Vehicle logo recognition using whitening transformation and deep learning
Published 2019“…Unlike most of the common traditional methods that employ handcrafted visual features, our proposed method is able to automatically learn and extract high-level features for the classification task. …”
Get full text
Get full text
Article -
13
Sleep arousal events detection using PNN-GBMO classifier based on EEG and ECG signals: A hybrid-learning model
Published 2020“…A subset of the features is then applied into the probabilistic neural network optimized by Gases Brownian Motion Optimization (GBMO) algorithm. …”
Get full text
Get full text
Get full text
Get full text
Conference or Workshop Item -
14
Automatic topic-based web page classification using deep learning
Published 2023“…However, there is lack of study that review classification of web pages using deep learning. In this study, the automatic topic-based classification of web pages utilising deep learning that has been proposed by many key researchers are reviewed. …”
Get full text
Get full text
Get full text
Article -
15
Automatic Topic-Based Web Page Classification Using Deep Learning
Published 2023“…However, there is lack of study that review classification of web pages using deep learning. In this study, the automatic topic-based classification of web pages utilising deep learning that has been proposed by many key researchers are reviewed. …”
Get full text
Get full text
Get full text
Article -
16
-
17
-
18
The efficacy of deep learning algorithm in classifying chilli plant growth stages
Published 2021“…The demand in this field has created various opportunities, especially for automatic classification using deep learning methods. …”
Get full text
Get full text
Get full text
Article -
19
Breast cancer disease classification using fuzzy-ID3 algorithm with FUZZYDBD method: automatic fuzzy database definition
Published 2021“…FID3 algorithm combined the fuzzy system and decision tree techniques with ID3 algorithm as the decision tree learning. …”
Get full text
Get full text
Get full text
Get full text
Article -
20
RLMD-PA: A Reinforcement Learning-Based Myocarditis Diagnosis Combined with a Population-Based Algorithm for Pretraining Weights
Published 2024journal::journal article
