This paper proposes a method of pattern recognition based on conditional constraints, which provides a feasible idea for procedure pattern recognition.
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This paper verifies the accuracy and effectiveness of the procedure pattern recognition method based on conditional constraints by testing the procedure pattern ...
This paper describes a method of estimating distribution parameters which govern pattern groups of various categories by means of the empirical Bayes ...
In this paper, a practical and effective method that can be applied for fault detection and diagnostics of a given system is developed.
Dec 23, 2023 · Constrained conditional models encompass a range of methodologies and algorithms tailored to operate within predefined constraints while facilitating accurate ...
Dec 5, 2024 · In this work we consider the task of pattern recognition under the assumption that examples are conditionally independent. Pattern recognition ...
Missing: Procedure | Show results with:Procedure
Mar 12, 2022 · This paper proposes an artificial neural network-based model for transformer partial discharge pattern recognition, which combines the advantages of artificial ...
Missing: Procedure | Show results with:Procedure
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Jun 7, 2012 · This paper presents Constrained Conditional Models (CCMs), a framework that augments linear models with declarative constraints as a way to support decisions.
This paper introduces a new solution approach based on pattern search optimization to the problem of power system economic dispatch with security constraints.
Missing: Procedure | Show results with:Procedure
Aug 1, 2004 · In this paper we consider models of learning diagnostics by precedents using pattern recognition methods and adjustment of layered neural ...