Search alternatives:
generation algorithm » genetic algorithm (Expand Search), detection algorithm (Expand Search)
coding algorithm » cosine algorithm (Expand Search), colony algorithm (Expand Search), scheduling algorithm (Expand Search)
text generation » next generation (Expand Search)
data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
generation algorithm » genetic algorithm (Expand Search), detection algorithm (Expand Search)
coding algorithm » cosine algorithm (Expand Search), colony algorithm (Expand Search), scheduling algorithm (Expand Search)
text generation » next generation (Expand Search)
data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
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Bird’s Eye View feature selection for high-dimensional data
Published 2023“…This approach is inspired by the natural world, where a bird searches for important features in a sparse dataset, similar to how a bird search for sustenance in a sprawling jungle. BEV incorporates elements of Evolutionary Algorithms with a Genetic Algorithm to maintain a population of top-performing agents, Dynamic Markov Chain to steer the movement of agents in the search space, and Reinforcement Learning to reward and penalize agents based on their progress. …”
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Segmenting Handwritten Arabic Text
Published 2002“…The algorithm then generates pre-segmentation points for these blocks. …”
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Predicting Compression Modes and Split Decisions for HEVC Video Coding Using Machine Learning Techniques
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A Neuro-Heuristic Approach for Segmenting Handwritten Arabic Text
Published 2001“…The algorithm then generates pre-segmentation points for these blocks. …”
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A neuro-heuristic approach for segmenting handwritten Arabic text. (c2001)
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Using Text Mining and Clustering Techniques on Tweets to Discover Trending Topics in Dubai
Published 2015“…Tweets corpus of Dubai were collected, they were presented through the bag of words model using TF-IDF weighting scheme, after that the output of text transformation was introduced to k-means clustering algorithm with cosine similarity measure. …”
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Sentiment Analysis of the Emirati Dialect text using Ensemble Stacking Deep Learning Models
Published 2023“…As more users join social media platforms, the amount of data that is generated online continues to grow at an accelerating pace. …”
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Large language models for code completion: A systematic literature review
Published 2024“…Different techniques can achieve code completion, and recent research has focused on Deep Learning methods, particularly Large Language Models (LLMs) utilizing Transformer algorithms. …”
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Synthesis of MVL Functions - Part I: The Genetic Algorithm Approach
Published 2006“…Multiple-Valued Logic (MVL) has been used in the design of a number of logic systems, including memory, multi-level data communication coding, and a number of special purpose digital processors. …”
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Advancing Interpretability in Sequential Models Through Generative AI Rationalization Using GPT-4
Published 2025“…Additionally, we devise a rationale generation algorithm that achieves a balance between succinctness and informativeness. …”
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An enhanced k-means clustering algorithm for pattern discovery in healthcare data
Published 2015“…The huge amounts of data generated by media sensors in health monitoring systems, by medical diagnosis that produce media (audio, video, image, and text) content, and from health service providers are too complex and voluminous to be processed and analyzed by traditional methods. …”
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Exploring Sentiment Analysis using Different Machine Learning Algorithms on Dialectal Arabic
Published 2021“…The study explores sentiment analysis using different machine learning algorithms on dialectal Arabic text dataset. In this study, we used twitter as our data source. …”
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XBeGene: Scalable XML Documents Generator by Example Based on Real Data
Published 2012“…Inspired by the query-by-example paradigm in information retrieval, Our generator system i)allows the user to provide her own sample XML documents as input, ii) analyzes the structure, occurrence frequencies, and content distributions for each XML element in the user input documents, and iii) produces synthetic XML documents which closely concur, in both structural and content features, to the user's input data. …”
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