首页|Researchers from Russian Academy of Sciences Detail New Studies and Findings in the Area of Machine Learning (Natural Language Processing Tools for Predictive M odeling of Advanced Trends in Formal Ontologies in Biomedical Sciences)
Researchers from Russian Academy of Sciences Detail New Studies and Findings in the Area of Machine Learning (Natural Language Processing Tools for Predictive M odeling of Advanced Trends in Formal Ontologies in Biomedical Sciences)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-Investigators discuss new findings in artificial intelligence. According to news reportingout of the Russian Academy of Sciences by NewsRx editors, research stated, "Natural language processingmet hods can be used to predict advanced application trends in formal ontologies."Our news correspondents obtained a quote from the research from Russian Academy of Sciences:"Formal ontologies help to formalize the characteristics of objects in various domains. As a result, machinelearning programs identify patterns an d relationships between these characteristics. The article describesan experime nt based on machine learning methods in combination with text search methods. It involvesthe CatBoost algorithm for predictive modeling and clustering of lexic al items. The vector models ofthe corresponding items reflect a trend in a part icular domain of knowledge; proximity between themwas calculated based on the i dea of semantic distance. The experiment revealed four advanced areas forformal ontologies, i.e., genotype - phenotype; personalization; clustering algorithms, and collaborative taskmanagement."
Russian Academy of SciencesCyborgsEm erging TechnologiesMachine LearningNatural Language Processing
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