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Nonparametric Causal Inference for Optogenetics: Sequential Excursion Effects for Dynamic Regimes. [PDF]
Loewinger G, Levis AW, Pereira F.
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Survey on mathematical modeling of infectious disease dynamics: insights and applications. [PDF]
Eshtewy NA, Forootani A, Sisi ZA.
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Discrepancies between empirical and theoretical probability in human binary choices within the game of Go. [PDF]
Kim YH +4 more
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Communications in Computer and Information Science, 2009
We present a framework for SQL-based extraction of decision rules from data, with no need of retrieving massive amounts of rows from a database. We also explain how to design efficient methods for mining non-deterministic data, without any intermediate stages related to the analysis of undetermined values.
Dominik Slezak, Hiroshi Sakai
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We present a framework for SQL-based extraction of decision rules from data, with no need of retrieving massive amounts of rows from a database. We also explain how to design efficient methods for mining non-deterministic data, without any intermediate stages related to the analysis of undetermined values.
Dominik Slezak, Hiroshi Sakai
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We discuss two, in a sense extreme, kinds of nondeterministic rules in decision tables. The first kind of rules, called as inhibitory rules, are blocking only one decision value (i.e., they have all but one decisions from all possible decisions on their ...
Mikhail Moshkov +2 more
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Deterministic and Nondeterministic Decision Trees for Recognition of All Realizable Decision Rules
The exploration of the relationships between decision trees and systems of decision rules is a significant research domain within computer science. While established methods exist for converting decision trees into systems of decision rules, the reverse ...
Kerven Durdymyradov +2 more
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In this paper, we consider classes of conventional decision tables closed relative to the removal of attributes (columns) and changing decisions assigned to rows.
Azimkhon Ostonov +2 more
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Impact of Decision Rules and Non-cooperative Behaviors on Minimum Consensus Cost in Group Decision Making [PDF]
The file attached to this record is the author's final peer reviewed version.In group decision making (GDM), it is sensible to achive minimum consensus cost (MCC) because the consensus reaching process (CRP) resources are often limited.
Weijun Xu +2 more
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Stable rule extraction and decision making in rough non-deterministic information analysis
International Journal of Hybrid Intelligent Systems, 2011Rough Non-deterministic Information Analysis (RNIA) is a rough set-based data analysis framework for Non-deterministic Information Systems (NISs). RNIA-related algorithms and software tools developed so far for rule generation provide good characteristics of NISs and can be successfully applied to decision making based on non-deterministic data.
Hiroshi Sakai +3 more
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