Results 1 to 10 of about 6,380 (117)
On Complexity of Deterministic and Nondeterministic Decision Trees for Conventional Decision Tables from Closed Classes [PDF]
Entropy, 2023 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, Mikhail Moshkov
doaj +4 more sources
Comparative Analysis of Deterministic and Nondeterministic Decision Trees for Decision Tables from Closed Classes [PDF]
EntropyIn this paper, we consider classes of decision tables with many-valued decisions closed under operations of the removal of columns, the changing of decisions, the permutation of columns, and the duplication of columns.
Azimkhon Ostonov, Mikhail Moshkov
doaj +4 more sources
AI in Neurology: Everything, Everywhere, All at Once Part 1: Principles and Practice. [PDF]
Ann NeurolArtificial intelligence (AI) is rapidly transforming healthcare, yet it often remains opaque to clinicians, scientists, and patients alike. This review, part 1 of a 3‐part series, provides neurologists and neuroscientists with a foundational understanding of AI's key concepts, terminology, and applications.
Rizzo M, Dawson JD.
europepmc +2 more sources
Cartography of Accident Causation Models: Remapping the Modeling Landscape. [PDF]
Risk AnalABSTRACT Accident causation models are abstractions of the real world that explicitly or implicitly underlie our perception and understanding of accidents. As the continuous advancement of our dynamic society demands us to keep updating our understanding of accidents, this review article provides an overview of the landscape of accident causation ...
Igarashi T, Marais K.
europepmc +2 more sources
IEEE AccessThis paper investigates classes of decision tables (DTs) with 0-1-decisions that are closed under the removal of attributes (columns) and changes to the assigned decisions to rows.
Azimkhon Ostonov, Mikhail Moshkov
doaj +3 more sources
The Hierarchical Classifier for COVID-19 Resistance Evaluation
Data, 2021 Finding dependencies in the data requires the analysis of relations between dozens of parameters of the studied process and hundreds of possible sources of influence on this process.
Nataliya Shakhovska +2 more
doaj +1 more source
International Journal of Disaster Risk Science, 2020 This article focuses on decision making for retrofit investment of road networks in order to alleviate severe consequences of roadside tree blowdown during tropical cyclones.
Fuyu Hu, Saini Yang, Russell G. Thompson
doaj +1 more source
Three Problems for Decision Rule Systems from Closed Classes
AxiomsThe study of the relationships between DRSs (Decision Rule Systems) and DTs (Decision Trees) is of considerable interest in computer science. In this paper, we consider classes of DRSs that are closed under specific operations.
Kerven Durdymyradov, Mikhail Moshkov
doaj +1 more source
IMPLEMENTASI METODE RANDOM FOREST DALAM MEMPREDIKSI SINYAL PERGERAKAN SAHAM
E-Jurnal MatematikaTrading involves purchasing stocks at low prices and then selling them at high prices to generate profits in a short period. Although it offers significant gains, trading is considered a high-risk activity.
MOCH. ANJAS APRIHARTHA +2 more
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Emerging applications of large language models in ecology and conservation science
Conservation Biology, EarlyView.Abstract Large language models (LLMs) mark a major development in artificial intelligence, with potentially transformative implications for ecology and conservation science. Built on advanced deep‐learning architectures, these models can support a wide range of tasks. We reviewed emerging applications of LLMs, drawing on the wider scientific literature
Christos Mammides +5 more
wiley +1 more source