Decision Trees with Hypotheses is popular PDF and ePub book, written by Mohammad Azad in 2022-11-18, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Decision Trees with Hypotheses can be Read Online from any device for your convenience.
Decision Trees with Hypotheses Book PDF Summary
In this book, the concept of a hypothesis about the values of all attributes is added to the standard decision tree model, considered, in particular, in test theory and rough set theory. This extension allows us to use the analog of equivalence queries from exact learning and explore decision trees that are based on various combinations of attributes, hypotheses, and proper hypotheses (analog of proper equivalence queries). The two main goals of this book are (i) to provide tools for the experimental and theoretical study of decision trees with hypotheses and (ii) to compare these decision trees with conventional decision trees that use only queries, each based on a single attribute. Both experimental and theoretical results show that decision trees with hypotheses can have less complexity than conventional decision trees. These results open up some prospects for using decision trees with hypotheses as a means of knowledge representation and algorithms for computing Boolean functions. The obtained theoretical results and tools for studying decision trees with hypotheses are useful for researchers using decision trees and rules in data analysis. This book can also be used as the basis for graduate courses.
Detail Book of Decision Trees with Hypotheses PDF
- Author : Mohammad Azad
- Release : 18 November 2022
- Publisher : Springer Nature
- ISBN : 9783031085857
- Genre : Technology & Engineering
- Total Page : 148 pages
- Language : English
- PDF File Size : 13,5 Mb
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