From Decision Trees To Decision Graphs
DOWNLOAD
Download From Decision Trees To Decision Graphs PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get From Decision Trees To Decision Graphs book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
From Decision Trees To Decision Graphs
DOWNLOAD
Author : Mekhon Ṿaitsman le-madaʻ. Dept. of Applied Mathematics and Computer Science
language : en
Publisher:
Release Date : 1990
From Decision Trees To Decision Graphs written by Mekhon Ṿaitsman le-madaʻ. Dept. of Applied Mathematics and Computer Science and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Logic programming categories.
When decision trees are exponential the corresponding decision graphs, in the worst case, degenerate to WAM code. In this paper we describe the decision graph principles and compilation algorithm and present experimental results comparing decision graphs to decision trees. A compiler based on the decision graph method has been implemented. Measuring real large programs reveals substantial savings in code size relative to the decision trees and substantial speedup in run time relative to the WAM-like compilation method."
Decision Graphs
DOWNLOAD
Author : Jonathan Oliver
language : en
Publisher:
Release Date : 1992
Decision Graphs written by Jonathan Oliver and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Artificial intelligence categories.
Abstract: "In this paper, we examine Decision Graphs, a generalization of decision trees. We present an inference scheme to construct decision graphs using the Minimum Message Length Principle. Empirical tests demonstrate that this scheme compares favourably with other decision tree inference schemes. This work provides a metric for comparing the relative merit of the decision tree and decision graph formalisms for a particular domain."
Bayesian Networks And Decision Graphs
DOWNLOAD
Author : Thomas Dyhre Nielsen
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-03-17
Bayesian Networks And Decision Graphs written by Thomas Dyhre Nielsen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-03-17 with Science categories.
This is a brand new edition of an essential work on Bayesian networks and decision graphs. It is an introduction to probabilistic graphical models including Bayesian networks and influence diagrams. The reader is guided through the two types of frameworks with examples and exercises, which also give instruction on how to build these models. Structured in two parts, the first section focuses on probabilistic graphical models, while the second part deals with decision graphs, and in addition to the frameworks described in the previous edition, it also introduces Markov decision process and partially ordered decision problems.
Inferring Decision Graphs
DOWNLOAD
Author : Jonathan Oliver
language : en
Publisher:
Release Date : 1992
Inferring Decision Graphs written by Jonathan Oliver and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Artificial intelligence categories.
Abstract: "In this paper, we introduce Decision Graphs, a generalization of decision trees. We present an inference scheme to construct Decision Graphs using the Minimum Message Length Principle. Empirical tests demonstrate that this scheme compares favourably with other decision tree inference schemes."
Decision And Inhibitory Trees And Rules For Decision Tables With Many Valued Decisions
DOWNLOAD
Author : Fawaz Alsolami
language : en
Publisher: Springer
Release Date : 2019-03-13
Decision And Inhibitory Trees And Rules For Decision Tables With Many Valued Decisions written by Fawaz Alsolami and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-13 with Technology & Engineering categories.
The results presented here (including the assessment of a new tool – inhibitory trees) offer valuable tools for researchers in the areas of data mining, knowledge discovery, and machine learning, especially those whose work involves decision tables with many-valued decisions. The authors consider various examples of problems and corresponding decision tables with many-valued decisions, discuss the difference between decision and inhibitory trees and rules, and develop tools for their analysis and design. Applications include the study of totally optimal (optimal in relation to a number of criteria simultaneously) decision and inhibitory trees and rules; the comparison of greedy heuristics for tree and rule construction as single-criterion and bi-criteria optimization algorithms; and the development of a restricted multi-pruning approach used in classification and knowledge representation.
Decision Graphs For Information Process
DOWNLOAD
Author : Wataru Mayeda
language : en
Publisher:
Release Date : 1973
Decision Graphs For Information Process written by Wataru Mayeda and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1973 with categories.
Identifying and classifying information are important tasks in many areas such as data processing in census studies, process controls in information processing systems, the recognition of patterns, and so on. Here the author develops a procedure to design a reasonable testing process to identify information from a given decision table. There are several papers dealing with decision trees and decision tables. In the paper, the author attacks the problem by the use of linear graph theory so that more general cases of identifying information can be covered. (Modified author abstract).
Decision Tree 169 Success Secrets 169 Most Asked Questions On Decision Tree What You Need To Know
DOWNLOAD
Author : Joe Stevens
language : en
Publisher: Emereo Publishing
Release Date : 2014-10-14
Decision Tree 169 Success Secrets 169 Most Asked Questions On Decision Tree What You Need To Know written by Joe Stevens and has been published by Emereo Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-14 with Reference categories.
Takes A Fresh Look At Decision Tree. There has never been a Decision Tree Guide like this. It contains 169 answers, much more than you can imagine; comprehensive answers and extensive details and references, with insights that have never before been offered in print. Get the information you need--fast! This all-embracing guide offers a thorough view of key knowledge and detailed insight. This Guide introduces what you want to know about Decision Tree. A quick look inside of some of the subjects covered: Decision tree model - Quantum decision tree, Predictive Model Markup Language - PMML Components, Predictive Model Markup Language - PMML 4.0, 4.1 and 4.2, Pattern recognition - Classification (machine learning)Classification algorithms (supervised learningsupervised algorithms predicting categorical datacategorical labels), Alternating decision tree, Document automation In legal services, MHealth - Diagnostic support, treatment support, communication and training for healthcare workers, Decision tree learning - Decision graphs, Decision tree model - Randomized decision tree, Grey goo - Ethics and chaos, Emergency Medical Services in the United States - Medical control, Voice control - Technology, Automatic image annotation - Some major work, Structured data analysis (statistics) - Types of structured data analysis, Decision trees - Decision tree elements, Decision tree learning - Limitations, Medical algorithm, Alternating decision tree - History, Decision trees - Advantages and disadvantages, Decision network, Text categorization - Techniques, Automatic summarization - How many keyphrases to return?, Corporate finance - Valuing flexibility, Decision network - Bibliography, Information visualization - Overview, Random forest - Framework, Visualization (graphic) - Visualization techniques, and much more...
Bayesian Networks And Decision Graphs
DOWNLOAD
Author :
language : en
Publisher:
Release Date : 2001
Bayesian Networks And Decision Graphs written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Bayesian statistical decision theory categories.
Bayesian networks and decision graphs are formal graphical languages for representation and communication of decision scenarios requiring reasoning under uncertainty. Their strengths are two-sided. It is easy for humans to construct and to understand them, and when communicated to a computer, they can easily be compiled. Furthermore, handy algorithms are developed for analyses of the models and for providing responses to a wide range of requests such as belief updating, determining optimal strategies, conflict analyses of evidence, and most probable explanation. The book emphasizes both the human and the computer sides. Part I gives a thorough introduction to Bayesian networks as well as decision trees and infulence diagrams, and through examples and exercises, the reader is instructed in building graphical models from domain knowledge. This part is self-contained and it does not require other background than standard secondary school mathematics. Part II is devoted to the presentation of algorithms and complexity issues. This part is also self-contained, but it requires that the reader is familiar with working with texts in the mathematical language. The author also: - provides a well-founded practical introduction to Bayesian networks, decision trees and influence diagrams; - gives several examples and exercises exploiting the computer systems for Bayesian netowrks and influence diagrams; - gives practical advice on constructiong Bayesian networks and influence diagrams from domain knowledge; - embeds decision making into the framework of Bayesian networks; - presents in detail the currently most efficient algorithms for probability updating in Bayesian networks; - discusses a wide range of analyes tools and model requests together with algorithms for calculation of responses; - gives a detailed presentation of the currently most efficient algorithm for solving influence diagrams.
Data Driven Decision Making
DOWNLOAD
Author : Dr. Avinash S. Jagtap
language : en
Publisher: Lulu.com
Release Date :
Data Driven Decision Making written by Dr. Avinash S. Jagtap and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Graph Based Decision Making In Industry
DOWNLOAD
Author : Izabela Kutschenreiter-Praszkiewicz
language : en
Publisher:
Release Date : 2018
Graph Based Decision Making In Industry written by Izabela Kutschenreiter-Praszkiewicz and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Mathematics categories.
Decision-making in industry can be focused on different types of problems. Classification and prediction of decision problems can be solved with the use of a decision tree, which is a graph-based method of machine learning. In the presented approach, attribute-value system and quality function deployment (QFD) were used for decision problem analysis and training dataset preparation. A decision tree was applied for generating decision rules.