Results 31 to 40 of about 23,977,071 (291)
Bootstrapping polarity classifiers with rule-based classification [PDF]
Language Resources and Evaluation, 2013 In this article, we examine the effectiveness of bootstrapping supervised machine-learning polarity classifiers with the help of a domain-independent rule-based classifier that relies on a lexical resource, i.e., a polarity lexicon and a set of linguistic rules.
Wiegand, Michael +2 more
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A SEMI-AUTOMATIC RULE SET BUILDING METHOD FOR URBAN LAND COVER CLASSIFICATION BASED ON MACHINE LEARNING AND HUMAN KNOWLEDGE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 Classification rule set is important for Land Cover classification, which refers to features and decision rules. The selection of features and decision are based on an iterative trial-and-error approach that is often utilized in GEOBIA, however, it is ...
H. Y. Gu +3 more
doaj +1 more source
New Associative Classification Method Based on Rule Pruning for Classification of Datasets
IEEE Access, 2019 In data mining, a rule-based classification approach called Associative Classification (AC) normally builds accurate classifiers from supervised learning data sets. It extracts “If-Then” rules and associates each of the generated rules with
Khairan D. Rajab
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Rule-Based Classification Based on Ant Colony Optimization: A Comprehensive Review
Applied Computational Intelligence and Soft Computing, 2022 The Ant Colony Optimization (ACO) algorithms have been well-studied by the Operations Research community for solving combinatorial optimization problems.
Sayed Kaes Maruf Hossain +2 more
doaj +1 more source
Optimising Rule-Based Classification in Temporal Data
CoRR, 2016 ZANCO Journal of Pure and Applied Sciences, 28 (2), pp.
Fattah, Polla +2 more
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Conformal Rule-Based Multi-label Classification [PDF]
, 2020 We advocate the use of conformal prediction (CP) to enhance rule-based multi-label classification (MLC). In particular, we highlight the mutual benefit of CP and rule learning: Rules have the ability to provide natural (non-)conformity scores, which are required by CP, while CP suggests a way to calibrate the assessment of candidate rules, thereby ...
Eyke Hüllermeier +2 more
openaire +3 more sources
EVALUATION AND OPTIMIZATION OF FREQUENT ASSOCIATION RULE BASED CLASSIFICATION
Asia-Pacific Journal of Information Technology and Multimedia, 2014 Deriving useful and interesting rules from a data mining system is an essential and important task. Problems such as the discovery of random and coincidental patterns or patterns with no significant values, and the generation of a large volume of rules ...
Izwan Nizal Mohd Shaharanee +1 more
doaj +1 more source
Interpretable Machine Learning Reveals Dissimilarities Between Subtypes of Autism Spectrum Disorder
Frontiers in Genetics, 2021 Autism spectrum disorder (ASD) is a heterogeneous neuropsychiatric disorder with a complex genetic background. Analysis of altered molecular processes in ASD patients requires linear and nonlinear methods that provide interpretable solutions ...
Mateusz Garbulowski +9 more
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Rule pruning and prediction methods for associative classification approach in data mining [PDF]
Recent studies in data mining revealed that Associative Classification (AC) data mining approach builds competitive classification classifiers with reference to accuracy when compared to classic classification approaches including decision tree and rule ...
Abu Mansour, Hussein Y
core +3 more sources
Remote Sensing, 2019 This paper assesses the performance of DoTRules—a dictionary of trusted rules—as a supervised rule-based ensemble framework based on the mean-shift segmentation for hyperspectral image classification.
Majid Shadman Roodposhti +3 more
doaj +1 more source