data mining − practical machine learning tools and techniques with java implementations (Burlington Industries)
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Burlington Industries
data mining − practical machine learning tools and techniques with java implementations
Data Mining − Practical Machine Learning Tools And Techniques With Java Implementations, supplied by Burlington Industries, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/data+mining+%E2%88%92+practical+machine+learning+tools+and+techniques+with+java+implementations/data+mining++practical+machine+learning+tools+and+techniques/10__1103_slash_physrevmaterials__3__084418-389-5-22
Average 90 stars, based on 1 article reviews
Data Mining − Practical Machine Learning Tools And Techniques With Java Implementations, supplied by Burlington Industries, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/data+mining+%E2%88%92+practical+machine+learning+tools+and+techniques+with+java+implementations/data+mining++practical+machine+learning+tools+and+techniques/10__1103_slash_physrevmaterials__3__084418-389-5-22
Average 90 stars, based on 1 article reviews
data mining − practical machine learning tools and techniques with java implementations - by Bioz Stars,
2026-10
90/100 stars
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other:Article Title: Machine-learning-assisted prediction of magnetic double perovskites Article Snippet: Magnetism is an important property of materials that plays a key role in many different applications.. In the present paper, we use a combination of computational tools: a machine-learning technique for screening of stable candidates, an evolutionary algorithm for crystal structure determination, and first-principles calculations for characterization of electronic and magnetic properties to make predictions on magnetic double perovskites, which are yet to be synthesized.. Out of 412 scanned candidates of A2BB′O6 composition with 3d and 4d or 5d transition metals at B and B′ sites, we found 33 compounds to form stable double-perovskite structures, 25 of which were further considered for characterization of their structure and properties. |