Performance Comparison of Rule Based Classification Algorithms
International Journal of Computer Science and Informatics, 2011 Classification based on predictive association rules (CPAR) is a kind of association classification methods which combines the advantages of both associative classification and traditional rule-based classification. For rule generation, CPAR is more efficient than traditional rule-based classification because much repeated calculation is avoided and ...
Prafulla Gupta, Durga Toshniwal
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An Online Unsupervised Structural Plasticity Algorithm for Spiking Neural Networks
, 2015 In this article, we propose a novel Winner-Take-All (WTA) architecture employing neurons with nonlinear dendrites and an online unsupervised structural plasticity rule for training it.
Basu, Arindam, Roy, Subhrajit
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, 2019 PURPOSE: The medical literature relevant to germline genetics is growing exponentially. Clinicians need tools monitoring and prioritizing the literature to understand the clinical implications of the pathogenic genetic variants.
Acevedo, Francisco +11 more
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Treatment as an Individual and the Priority of Persons Over Groups in Antidiscrimination Law [PDF]
, 2007 The Supreme Court has said that the Equal Protection Clause of the Constitution and Title VII’s prohibition of discrimination require that all persons be treated as individuals and that the laws operate primarily to protect “persons, not groups.” This ...
Huttu, John, Svedjemo, Gustaf
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Inductive Learning using Multiscale Classification [PDF]
, 1994 Multiscale Classification is a simple rule-based inductive learning algorithm. It can be applied to any N-dimensional real or binary classification problem to successively split the feature space in half to correctly classify the training data.
Bradley, Andrew P., Lovell, Brian C.
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A robust approach to model-based classification based on trimming and constraints
, 2019 In a standard classification framework a set of trustworthy learning data are employed to build a decision rule, with the final aim of classifying unlabelled units belonging to the test set.
Cappozzo, Andrea +2 more
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Extracting Useful Emergency Information from Social Media: A Method Integrating Machine Learning and Rule-Based Classification. [PDF]
Int J Environ Res Public Health, 2023 Shen H, Ju Y, Zhu Z.
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Generalized Bhattacharyya and Chernoff upper bounds on Bayes error using quasi-arithmetic means
, 2014 Bayesian classification labels observations based on given prior information, namely class-a priori and class-conditional probabilities. Bayes' risk is the minimum expected classification cost that is achieved by the Bayes' test, the optimal decision ...
Nielsen, Frank
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Question Classification using a Rule based Model
International Journal of Innovative Technology and Exploring Engineering, 2019 Question Answering is one of the most common applications for data acquisition. Although the majority of text-mining applications strive to improve the user experience and the tools used to find appropriate answers, the problems still exist because the web content is constantly increasing. The Questions Classification (QC) task is one of the main tasks
Aarthi D* +3 more
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F-Classify: Fuzzy Rule Based Classification Method for Privacy Preservation of Multiple Sensitive Attributes. [PDF]
Sensors (Basel), 2021 Attaullah H +8 more
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