Results 251 to 260 of about 3,836,064 (302)

On Learnability of Decision Tables

2004
The article is exploring the learnabilty issues of decision tables acquired from data within the frameworks of rough set and of variable precision rough set models. Measures of learning problem complexity and of learned table domain coverage are proposed.
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Threshold Analysis of Decision Tables

Medical Decision Making, 1986
When a decision table is used to find a maximum expected utility testing strategy, it is based on a given prior probability distribution of diseases. In the two-disease situation, a threshold analysis over all prior probabilities can be done using threshold transformations of the points of indifference between treatments. This results in a set of prior
Glasziou, Paul, Hilden, Jörgen
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Decision Making with Probabilistic Decision Tables

1999
The paper is concerned with the decision making with predictive models acquired from data called probabilistic decision tables. The methodology of probabilistic decision tables presented in this article is derived from the theory of rough sets. In this methodology, the probabilistic extension of the original rough set theory, called variable precision ...
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Decision Rules for Decision Tables with Many-Valued Decisions

2011
In the paper, authors presents a greedy algorithm for construction of exact and partial decision rules for decision tables with many-valued decisions. Exact decision rules can be over-fitted, so instead of exact decision rules with many attributes, it is more appropriate to work with partial decision rules with smaller number of attributes.
Igor Chikalov, Beata Zielosko
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Pansystems decision making on tables

Kybernetes, 2009
Purpose – Tables are widely used to store information. It belongs to table decision making to choose the pivotal fields or partition fields into conditions and decisions to discover their causality. This paper is intended to list the basic operations to achieve the aims and to explore possible solving methods.Design/methodology/approach – Methods, to ...
Xiaoxia Li, Xingcheng Liu, Xuemou Wu
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On the emulation of flowcharts by decision tables

Communications of the ACM, 1982
Any flowchart can be emulated by a decision table, whose complexity depends on that of the flowchart. It may be necessary, however, to introduce a new control variable with associated tests and sets or to permit changes in execution sequences provided action-test independence holds.
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Decision tables in Algol 60

BIT, 1968
This paper defines an extension to Algol 60, which allows the programmer to write decision tables in his Algol program. A pre-processor converts the decision tables to Algol, and its output is used as input to the ordinary Algol compiler. The generated Algol program uses a straight-forward and efficient algorithm for choosing the appropriate decision ...
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Visualizing decision table classifiers

Proceedings IEEE Symposium on Information Visualization (Cat. No.98TB100258), 2002
Decision tables, like decision trees or neural nets, are classification models used for prediction. They are induced by machine learning algorithms. A decision table consists of a hierarchical table in which each entry in a higher level table gets broken down by the values of a pair of additional attributes to form another table.
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Decision tables in Algol 68

Software: Practice and Experience, 1981
AbstractTwo methods for extending Algol 68 to handle decision tables are described. One method allows an extension to Algol 68 to handle limited entry decision tables while the other method, which involves the use of a preprocessor, extends Algol 68 to handle mixed entry decision tables.
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On Constructing Semantic Decision Tables

2007
Decision tables are a widely used knowledge management tool in the decision making process. Ambiguity and conceptual reasoning difficulties arise while designing large decision tables in a collaborative environment. We introduce the notion of Semantic Decision Table (SDT), which enhances a decision table with explicit decision semantics by annotating ...
Tang, Yan, Meersman, Robert
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