Selecting Models from Data is popular PDF and ePub book, written by P. Cheeseman in 2012-12-06, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Selecting Models from Data can be Read Online from any device for your convenience.
Selecting Models from Data Book PDF Summary
This volume is a selection of papers presented at the Fourth International Workshop on Artificial Intelligence and Statistics held in January 1993. These biennial workshops have succeeded in bringing together researchers from Artificial Intelligence and from Statistics to discuss problems of mutual interest. The exchange has broadened research in both fields and has strongly encour aged interdisciplinary work. The theme ofthe 1993 AI and Statistics workshop was: "Selecting Models from Data". The papers in this volume attest to the diversity of approaches to model selection and to the ubiquity of the problem. Both statistics and artificial intelligence have independently developed approaches to model selection and the corresponding algorithms to implement them. But as these papers make clear, there is a high degree of overlap between the different approaches. In particular, there is agreement that the fundamental problem is the avoidence of "overfitting"-Le., where a model fits the given data very closely, but is a poor predictor for new data; in other words, the model has partly fitted the "noise" in the original data.
Detail Book of Selecting Models from Data PDF
- Author : P. Cheeseman
- Release : 06 December 2012
- Publisher : Springer Science & Business Media
- ISBN : 9781461226604
- Genre : Mathematics
- Total Page : 475 pages
- Language : English
- PDF File Size : 11,9 Mb
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