Search Results - (( model validation _ algorithm ) OR ( set selection based algorithm ))*
Search alternatives:
- selection based »
- set selection »
-
1
SURE-Autometrics algorithm for model selection in multiple equations
Published 2016“…The SURE-Autometrics is also validated using two sets of real data by comparing the forecast error measures with five model selection algorithms and three non-algorithm procedures. …”
Get full text
Get full text
Get full text
Thesis -
2
Academic leadership bio-inspired classification model using negative selection algorithm
Published 2015“…In the experimental phase, academic leadership competency data were collected from a selected higher learning institution as training data-set based on 10-fold cross validation. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
3
Extended multiple models selection algorithms based on iterative feasible generalized least squares (IFGLS) and expectation-maximization (EM) algorithm
Published 2019“…In conclusion, SURE(IFGLS)-Autometrics and SURE(EM)-Autometrics can be used as models selection algorithms. Additionally, both algorithms are suitable in improving performance of automated models selection procedures. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
4
Green building valuation based on machine learning algorithms / Thuraiya Mohd ... [et al.]
Published 2021“…This experiment used five common machine learning algorithms namely 1) Linear Regressor, 2) Decision Tree Regressor, 3) Random Forest Regressor, 4) Ridge Regressor and 5) Lasso Regressor tested on a real estate data-set of covering Kuala Lumpur District, Malaysia. 3 set of experiments was conducted based on the different feature selections and purposes The results show that the implementation of 16 variables based on Experiment 2 has given a promising effect on the model compare the other experiment, and the Random Forest Regressor by using the Split approach for training and validating data-set outperformed other algorithms compared to Cross-Validation approach. …”
Get full text
Get full text
Conference or Workshop Item -
5
Modeling of cardiovascular diseases (CVDs) and development of predictive heart risk score
Published 2021“…Secondly, the ML models offer better and consistent risk prediction models as compared to LRA-based model. …”
Get full text
Get full text
Thesis -
6
Development of a syncope classification algorithm from physiological signals acquired in tilt-table test
Published 2023“…Aim of this study is to design an algorithm which able to classify syncope patient based on their physiological signal. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
7
A hybrid approach for personalized news recommendation with ordered clustering algorithm, rich user and news metadata
Published 2019“…A new model in news selection is proposed based on sub-modularity model. …”
Get full text
Get full text
Thesis -
8
Single parent mating in genetic algorithm for real robotic system identification
Published 2023“…As a popular search method, genetic algorithm (GA) is used for selecting a model structure. …”
Get full text
Get full text
Get full text
Article -
9
Computational Technique for an Efficient Classification of Protein Sequences With Distance-Based Sequence Encoding Algorithm
Published 2017“…A statistical metric-based feature selection algorithm is then adopted to identify the reduced set of features to represent the original feature space. …”
Get full text
Get full text
Article -
10
Neural network algorithm-based fall detection modelling
Published 2020“…The algorithm is trained by network training function; LM, SCG and RP by collocation with threshold-based setting value. …”
Get full text
Get full text
Get full text
Article -
11
Standardizing and weighting the evaluation criteria of many-objective optimization competition algorithms based on fuzzy delphi and fuzzy-weighted zero-inconsistency methods
Published 2021“…Thus, this research aims to standardize and weigh the evaluation criteria of MaOO competitive algorithms base on fuzzy Delphi and new fuzzy-weighted zero-inconsistency (FWZIC) methods. …”
Get full text
Get full text
Thesis -
12
Modelling the yield loss of oil palm due to Ganoderma Basal Stem Rot disease
Published 2016“…All the remaining data set was splitted into model building data set and validation data set. …”
Get full text
Get full text
Thesis -
13
Modelling the yield loss of oil palm due to ganoderma basal stem rot disease
Published 2016“…All the remaining data set was splitted into model building data set and validation data set. …”
Get full text
Get full text
Get full text
Thesis -
14
Improved Manta Ray Foraging Optimizer-based SVM for Feature Selection Problems: A Medical Case Study
Published 2024“…The proposed approach is validated and compared with four SVM-based algorithms over eight benchmarking datasets. …”
Get full text
Get full text
Article -
15
Enhanced AI-based anomaly detection method in the intrusion detection system (IDS) / Kayvan Atefi
Published 2019“…Despite attempts to solve the data clustering issues, there are also many variants of modified algorithms in traditional information clustering that attempt to solve issues such as clustering algorithms based on condensation. …”
Get full text
Get full text
Thesis -
16
Modeling, Testing and Experimental Validation of Laser Machining Micro Quality Response by Artificial Neural Network
Published 2009“…The model was then fed with new sets of machining parameters to experimentally validate the model’s ability in predicting the cut quality. …”
Get full text
Get full text
Article -
17
Long-term electrical energy consumption: Formulating and forecasting via optimized gene expression programming / Seyed Hamidreza Aghay Kaboli
Published 2018“…The simulation results are validated by actual data sets observed from 1971 until 2013. …”
Get full text
Get full text
Get full text
Thesis -
18
Computational dynamic support model for social support assignments around stressed individuals among graduate students
Published 2020“…Hence, this study aims to develop the dynamic configuration algorithm to provide an optimal support assignment based on information generated from both social support recipient and provision computational models. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Thesis -
19
Experimental validation of minimum cost function-based model predictive converter control with efficient reference tracking
Published 2015“…This study proposes a robust and powerful finite control set-model predictive control (MPC) algorithm to control the load current with lower total harmonic distortion and efficient reference tracking. …”
Get full text
Get full text
Get full text
Article -
20