Search Results - ((((testing algorithms) OR (learning algorithms))) OR (stemming algorithm))
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Analyzing enrolment patterns: modified stacked ensemble statistical learning based approach to educational decision-making
Published 2024“…Moreover, the introduction of the novel modified stacked ensemble statistical learning-based algorithm had improved predictive accuracy compared to traditional dichotomous logistic regression algorithms on average, particularly at optimal training-to-test ratios of 70:30, 80:20, and 90:10. …”
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E-history Malaysian secondary school textbook using TF-IDF algorithm and text visualization / Nur Hafizah Mohd Ridzuan
Published 2020“…The objective of the project is to design and develop an E-History Malaysian secondary school textbook system using Term Frequency-Inverse Document Frequency (TF-IDF) algorithm with text visualization and also to test the functionality and usability of the system through a web-based system. …”
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Analyzing enrolment patterns: Modified stacked ensemble statistical learning-based approach to educational decision-making
Published 2024“…Moreover, the introduction of the novel modified stacked ensemble statistical learning-based algorithm had improved predictive accuracy compared to traditional dichotomous logistic regression algorithms on average, particularly at optimal training-to-test ratios of 70:30, 80:20, and 90:10. …”
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Analyzing enrolment patterns: Stacked ensemble statistical learning-based approach to educational decision making
Published 2023“…Moreover, the introduction of the novel stacked ensemble machine learning algorithm had improved predictive accuracy compared to traditional dichotomous logistic regression algorithms on average, particularly at optimal training-to-test ratios of 70:30, 80:20, and 90:10. …”
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An Arabic hadith text classification model using convolutional neural network and support vector machine / Mohd Irwan Mazlin
Published 2022“…Fourth, the model is being tested using different stemming techniques, and it found that the model using non-stemming techniques gives higher accuracy with 92%. …”
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Enhancement of stemming process for malay illicit web content
Published 2012“…To date, the existing stemming algorithm in Malay language; Othman’s stemming algorithm and Sembok’s stemming algorithm still produce errors in the result. …”
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Monolingual and Cross-language Information Retrieval Approaches for Malay and English Language Document
Published 2006“…The results show that there is an improvement in performance from non-stemmed Malay to stemmed Malay, and also from previous stemming algorithm to the new stemming algorithm. …”
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Study of stemming algorithm for Malay words which begin with alphabets 'M' / Mohd Zawawi Mohd Yunus
Published 2000“…The performance of this Malay stemming algorithm is tested using the test collection of 1066 words that starts with the letter 'M' that have been extracted from 6236 Malay Quran documents. …”
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The study of stemming algorithm for Malay words that start with the letter 'B' from translated Quran documents / Azriana Ahmad
Published 1999“…The performance of this Malay stemming algorithm is tested using translated Quran documents and Malay dictionary. …”
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10
Modelling of biogas production process with evolutionary artificial neural network and genetic algorithm
Published 2017“…The model output optimisation by genetic algorithm (GA) produces higher biogas production compared to the optimisation using statistical methods. …”
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Stemming and lemmatization: A comparison of retrieval performances
Published 2014“…Comparisons were also made between these two techniques with a baseline ranking algorithm (i.e. with no language processing). A search engine was developed and the algorithms were tested based on a test collection. …”
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Building a French Stemmer Using a Dictionary of French Root Words
Published 1999“…For all these tests, the new French stemming algorithm performs better than the existing French stemmer, Savoy's stemmer. …”
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Modified word representation vector based scalar weight for contextual text classification
Published 2024“…To validate this algorithm, the modified word vectors are compared with original LLM-generated word vectors to evaluate their reflection of the intended context. …”
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To improve stemming algorithm on Malay words begin with alphabet B / Norasiah Ismail
Published 2001“…The performance on words beginning with letter 'b' of Malay stemming algorithm are tested using 5 experiments. …”
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Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof
Published 2019“…From the reviews, it is evident that autonomous system is set to handle finite number of encountered states using finite sequences of actions. In order to learn the optimized states-action policy the self-learning algorithm is developed using hybrid AI algorithm by combining unsupervised weightless neural network, which employs AUTOWiSARD and reinforcement learning algorithm, which employs Q-learning. …”
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The study of existing Malay algorithm performed on words beginning with 'D' / Elly Johana Johan
Published 2000“…The performance of a Malay stemming algorithm is tested based on words that beginning with 'd', using two experiments. …”
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To enhance existing Malay stemming algorithm starting with the letter 'D' / Mohd Nazril Hafez Mohd Supandi
Published 2000“…The performance of a Malay stemming algorithm is tested based on words that beginning with 'd', using 4 experiments. …”
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Q-learning whale optimization algorithm for test suite generation with constraints support
Published 2023“…This paper introduces a new variant of a metaheuristic algorithm based on the whale optimization algorithm (WOA), the Q-learning algorithm and the Exponential Monte Carlo Acceptance Probability called (QWOA-EMC). …”
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The study of stemming algorithm on Malay words that begin with alphabets P, Q, Y, and Z from the translated Al-Quran / Suriani Mat
Published 2001“…The performance of a Malay stemming algorithm is tested based on words beginning with letter 'p', 'q', 'y' and 'z', using 5 experiments. …”
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