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Machine Learning EI PubMed AJ SCIE JST 中科院3区 JCR:Q2
发文量 2,877
被引量 244,346
影响因子(2023) 3.571

Machine Learning is an international forum for research on computational approaches to learning. The journal publishes articles reporting substantive results on a wide range of learning methods applied to a variety of learning problems. The journal features papers that describe research on problems and methods, applications research, and issues of research methodology. Papers making claims about learning problems or methods provide solid support via empirical studies, theoretical analysis, or comparison to psychological phenomena. Applications papers show how to apply learning methods to solve important applications problems. Research methodology papers improve how machine learning research is conducted. All papers describe the supporting evidence in ways that can be verified or replicated by other researchers. The papers also detail the learning component clearly and discuss assumptions regarding knowledge representation and the performance task. An international forum for research on computational approaches to learning. Reports substantive results on a wide range of learning methods applied to a variety of learning problems. Provides solid support via empirical studies, theoretical analysis, or comparison to psychological phenomena. Shows how to apply learning methods to solve important applications problems. Improves how machine learning research is conducted.

  • 主办单位： SPRINGER
  • 出版周期： 月刊
  • 别名： 机器学习
  • 国际标准连续出版物号： ISSN 0885-6125
  • 创刊时间： 1986年
热门主题：

LearningAlgorithmsClassificationAlgorithmAPPROACHExamplesExperimentalMethodMachine LearningPredictionMethodsReinforcement LearningTrainingProblemRepresentationProgrammingOptimizationModelModelsClassifier

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2025年04期
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2025年04期

2025年04期

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