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A Survey of Baseball Machine Learning: A Technical Report
Statistical analysis of baseball has long been popular, albeit only in limited capacity until relatively recently. The recent proliferation of computers has added tremendous power and opportunity to this field. Even an ...
Towards the Realization of a DSML for Machine Learning: A Baseball Analytics Use Case
Using machine learning (ML) for big data is challenging, requiring specialized knowledge of the domain, learning algorithms, and software engineering. To demonstrate the viability of model-driven engineering in the ML ...
Supplemental Material for Emerging Trends in Collaborative Modelling: A Survey
This entry contains the supplemental material and data for our paper Emerging Trends in Collaborative Modelling: A Survey. Paper abstract: Just as in other engineering disciplines, software engineering is well suited ...
Research Artifacts for Machine Learning DSML Baseball Case Study
This entry contains all the artifacts created and data utilized in our research on developing a Machine Learning DSML, models, and software for a Baseball Case Study.