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- research-articleJanuary 2022
A Novel Approach for the Automatic Detection of COVID in a Patient by Using a Categorization Methods
Procedia Computer Science (PROCS), Volume 198, Issue CPages 712–717https://doi.org/10.1016/j.procs.2021.12.311AbstractIn the article, the analysis of researches was carried out concerning consideration of a question of forecasting of strains of COVID where based on indicators of patients it would be possible to predict with a specific error existence at them of ...
- research-articleFebruary 2014
A hybrid approach to Arabic named entity recognition
Journal of Information Science (JIPP), Volume 40, Issue 1Pages 67–87https://doi.org/10.1177/0165551513502417In this paper, we propose a hybrid named entity recognition (NER) approach that takes the advantages of rule-based and machine learning-based approaches in order to improve the overall system performance and overcome the knowledge elicitation bottleneck ...
- research-articleDecember 2013
Machine learning approaches for predicting software maintainability: a fuzzy‐based transparent model
Software quality is one of the most important factors for assessing the global competitive position of any software company. Thus, the quantification of the quality parameters and integrating them into the quality models is very essential.Many attempts ...
- ArticleAugust 2013
Subjectivity Classification of Filipino Text with Features Based on Term Frequency -- Inverse Document Frequency
IALP '13: Proceedings of the 2013 International Conference on Asian Language ProcessingPages 113–116https://doi.org/10.1109/IALP.2013.40Subjectivity classification classifies a given document if it contains subjective information or not, or identifies which portions of the document are subjective. This research reports a machine learning approach on document-level and sentence-level ...
- ArticleMay 2010
A Multi-State Q-Learning Approach for the Dynamic Load Balancing of Time Warp
PADS '10: Proceedings of the 2010 IEEE Workshop on Principles of Advanced and Distributed SimulationPages 142–149https://doi.org/10.1109/PADS.2010.5471661In this paper, we present a dynamic load-balancing algorithm for optimistic gate level simulation making use of a machine learning approach. We first introduce two dynamic load-balancing algorithms oriented towards balancing the computational and ...
- ArticleNovember 2009
Learning parameters for non-coding RNA sequence-structure alignment
BIBMW '09: Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine WorkshopPages 73–77https://doi.org/10.1109/BIBMW.2009.5332140Sequence-structure alignment is the most important part for an algorithm that can search genomes and identify non-coding RNAs. A model that can accurately describe the secondary structure of a noncoding RNA family is crucial to the search accuracy of ...
- ArticleAugust 1995
Clustering and classification of document structure-a machine learning approach
We describe a system which is capable of learning the presentation of document logical structures, exemplarily shown for business letters. Presenting a set of instances to the system, it clusters them into structural concepts and induces a concept ...
- ArticleAugust 1995
A machine learning approach to error detection and recovery in assembly
Research results concerning error detection and recovery in robotized assembly systems, key components of flexible manufacturing systems, are presented. A planning strategy and domain knowledge for nominal plan execution and for error recovery is ...