Download e-book for kindle: Cost-Sensitive Machine Learning (Chapman & Hall/CRC Machine by Balaji Krishnapuram,Shipeng Yu,R. Bharat Rao

By Balaji Krishnapuram,Shipeng Yu,R. Bharat Rao

ISBN-10: 1439839255

ISBN-13: 9781439839256

In desktop studying purposes, practitioners needs to take into consideration the cost associated with the set of rules. those bills comprise:




  • Cost of buying education data

  • Cost of information annotation/labeling and cleaning

  • Computational rate for version becoming, validation, and testing

  • Cost of amassing features/attributes for try data

  • Cost of consumer suggestions collection

  • Cost of flawed prediction/classification


Cost-Sensitive computer Learning is likely one of the first books to supply an outline of the present examine efforts and difficulties during this quarter. It discusses real-world functions that include the price of studying into the modeling strategy.



The first a part of the publication offers the theoretical underpinnings of cost-sensitive computer studying. It describes well-established laptop studying methods for decreasing information acquisition charges in the course of education in addition to ways for decreasing charges while structures needs to make predictions for brand spanking new samples. the second one half covers real-world purposes that successfully exchange off kinds of expenditures. those purposes not just use conventional desktop studying ways, yet in addition they comprise state of the art study that advances past the constraining assumptions through examining the appliance wishes from first principles.



Spurring additional examine on numerous open difficulties, this quantity highlights the customarily implicit assumptions in desktop studying thoughts that weren't totally understood long ago. The publication additionally illustrates the economic value of cost-sensitive desktop studying via its insurance of the speedy program advancements made through prime businesses and educational learn labs.

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Cost-Sensitive Machine Learning (Chapman & Hall/CRC Machine Learning & Pattern Recognition) by Balaji Krishnapuram,Shipeng Yu,R. Bharat Rao


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