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Recent advances in decision trees: an updated survey
Artificial Intelligence Review, 2022Vinícius G. Costa, C. E. Pedreira
semanticscholar +1 more source
2017
This chapter provides further detail and depth on the construction of decision trees. Properties of expected value and decision trees are presented along with examples that demonstrate the use of probability and expected value of perfect and imperfect information.
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This chapter provides further detail and depth on the construction of decision trees. Properties of expected value and decision trees are presented along with examples that demonstrate the use of probability and expected value of perfect and imperfect information.
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2008
Decision trees are part of the decision theory and are excellent tools in the decision-making process. Majority of decision tree learning methods were developed within the last 30 years by scholars like Quinlan, Mitchell, and Breiman, just to name a few (Ozgulbas & Koyuncugil, 2006).
John Wang, Dajin Wang
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Decision trees are part of the decision theory and are excellent tools in the decision-making process. Majority of decision tree learning methods were developed within the last 30 years by scholars like Quinlan, Mitchell, and Breiman, just to name a few (Ozgulbas & Koyuncugil, 2006).
John Wang, Dajin Wang
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Management Decision, 1995
Explores, using appropriate examples, the ways in which decision trees can be used by the manager to assist in the longitudinal decision‐making process. Since the mathematical concepts associated with decision trees are complex, managers can be reluctant to attempt to use decision tree models. A recognition that such models can be simply developed in a
Coles, Susan, Rowley, Jennifer
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Explores, using appropriate examples, the ways in which decision trees can be used by the manager to assist in the longitudinal decision‐making process. Since the mathematical concepts associated with decision trees are complex, managers can be reluctant to attempt to use decision tree models. A recognition that such models can be simply developed in a
Coles, Susan, Rowley, Jennifer
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Collegian, 2000
Financial cutbacks and budgetary constraints continue to be a part of government policy, and impact deeply on many aspects of daily life in Australia in the late 90s. Health care is not immune from these measures, and nurses and other allied health professionals are having to manage increasingly complex patient care with less funding and resources ...
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Financial cutbacks and budgetary constraints continue to be a part of government policy, and impact deeply on many aspects of daily life in Australia in the late 90s. Health care is not immune from these measures, and nurses and other allied health professionals are having to manage increasingly complex patient care with less funding and resources ...
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Decision Trees and Applications
2020In many cases, the meaning of information is wrongly related to either the sense of data or the notion of knowledge. There is a crucial sequence of steps before information becomes knowledge and the value of data depends in the existence of information so as to produce knowledge.
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Decision trees within a molecular memristor
Nature, 2021Sreetosh Goswami+9 more
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2010
Consider a wireless sensor network in which each node possesses a bit of information. Suppose all sensors with the bit 1 broadcast this fact to a central processor. If zero or one sensors broadcast, the central processor can detect this fact. If two or more sensors broadcast, the central processor can only detect that there is a "collision." Although ...
Steve Uurtamo+5 more
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Consider a wireless sensor network in which each node possesses a bit of information. Suppose all sensors with the bit 1 broadcast this fact to a central processor. If zero or one sensors broadcast, the central processor can detect this fact. If two or more sensors broadcast, the central processor can only detect that there is a "collision." Although ...
Steve Uurtamo+5 more
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Decision trees and decision-making
IEEE Transactions on Systems, Man, and Cybernetics, 1990Various practical systems capable of extracting descriptive decision-making knowledge from data have been developed and evaluated. Techniques that represent knowledge about classified tasks in the form of decision trees are examined. A sample of techniques is sketched, ranging from basic methods of constructing decision trees to ways of using them ...
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