首页|Researchers at Cadi Ayyad University Release New Data on Machine Learning (Quant um-enhanced K-nearest Neighbors for Text Classification: a Hybrid Approach With Unified Circuit and Reduced Quantum Gates)
Researchers at Cadi Ayyad University Release New Data on Machine Learning (Quant um-enhanced K-nearest Neighbors for Text Classification: a Hybrid Approach With Unified Circuit and Reduced Quantum Gates)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – A new study on Machine Learning is now available. According to news reporting from Marrakech,Morocco, by NewsRx journalists, res earch stated, “Text classification, a key process in natural languageprocessing (NLP), relies on the k-nearest neighbors (KNN) algorithm for its simplicity and effectiveness.Traditional methods often grapple with the high-dimensional natu re of textual data, leading to substantialcomputational demands.”
MarrakechMoroccoAfricaAlgorithmsCyborgsEmerging TechnologiesK-nearest NeighborMachine LearningCadi Ayyad University
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