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Year Number of Results
1978 1
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1986 2
1987 1
1988 1
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1991 3
1992 3
1993 1
1995 5
1996 3
1997 2
1998 2
1999 3
2000 3
2001 1
2002 3
2003 5
2004 9
2005 5
2006 11
2007 8
2008 14
2009 6
2010 13
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2023 10
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245 results

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Page 1
Fuzzy-Rough Cognitive Networks.
Nápoles G, Mosquera C, Falcon R, Grau I, Bello R, Vanhoof K. Nápoles G, et al. Neural Netw. 2018 Jan;97:19-27. doi: 10.1016/j.neunet.2017.08.007. Epub 2017 Sep 28. Neural Netw. 2018. PMID: 29045911
Rough Cognitive Networks (RCNs) are a kind of granular neural network that augments the reasoning rule present in Fuzzy Cognitive Maps with crisp information granules coming from Rough Set Theory. While RCNs have shown promise in solving different classification pro …
Rough Cognitive Networks (RCNs) are a kind of granular neural network that augments the reasoning rule present in Fuzzy Cognitive Map …
Classification of Non-Functional Requirements From IoT Oriented Healthcare Requirement Document.
Khurshid I, Imtiaz S, Boulila W, Khan Z, Abbasi A, Javed AR, Jalil Z. Khurshid I, et al. Front Public Health. 2022 Mar 18;10:860536. doi: 10.3389/fpubh.2022.860536. eCollection 2022. Front Public Health. 2022. PMID: 35372217 Free PMC article.
In this research, an experiment is performed where non-functional requirements are classified from the IoT-oriented healthcare system's requirement document. The machine learning algorithms considered for classification are Logistic Regression (LR), Support Vector Machine …
In this research, an experiment is performed where non-functional requirements are classified from the IoT-oriented healthcare system's requ …
Fuzzy Ontology-Based System for Driver Behavior Classification.
Fernandez S, Ito T, Cruz-Piris L, Marsa-Maestre I. Fernandez S, et al. Sensors (Basel). 2022 Oct 19;22(20):7954. doi: 10.3390/s22207954. Sensors (Basel). 2022. PMID: 36298305 Free PMC article.
For this reason, it is essential to model driver behavior to improve road safety. This paper presents a Fuzzy Rule-Based System for driver classification into different profiles considering their behavior. ...In addition, the system allows proper classification …
For this reason, it is essential to model driver behavior to improve road safety. This paper presents a Fuzzy Rule-Based System for d …
Do children have Bayesian intuitions?
Gigerenzer G, Multmeier J, Föhring A, Wegwarth O. Gigerenzer G, et al. J Exp Psychol Gen. 2021 Jun;150(6):1041-1070. doi: 10.1037/xge0000979. Epub 2020 Oct 29. J Exp Psychol Gen. 2021. PMID: 33119349
Bayesian intuition is defined here as the ability to determine the exact Bayesian posterior probability by minds untutored in probability theory or in Bayes' rule. As we show, Bayesian intuitions do not require processing of probabilities or Arabic numbers, but basi …
Bayesian intuition is defined here as the ability to determine the exact Bayesian posterior probability by minds untutored in probability th …
Novel Meta-Learning Techniques for the Multiclass Image Classification Problem.
Vogiatzis A, Orfanoudakis S, Chalkiadakis G, Moirogiorgou K, Zervakis M. Vogiatzis A, et al. Sensors (Basel). 2022 Dec 20;23(1):9. doi: 10.3390/s23010009. Sensors (Basel). 2022. PMID: 36616606 Free PMC article.
Multiclass image classification is a complex task that has been thoroughly investigated in the past. ...The second technique for combining learner-based outcomes relies on Bayes' theorem. Combining the Bayes rule with arbitrary decompositions reduces t …
Multiclass image classification is a complex task that has been thoroughly investigated in the past. ...The second technique for comb …
New semiparametric method for predicting high-cost patients.
Maidman A, Wang L. Maidman A, et al. Biometrics. 2018 Sep;74(3):1104-1111. doi: 10.1111/biom.12834. Epub 2017 Dec 11. Biometrics. 2018. PMID: 29228454
The common practice is to artificially dichotomize the response variable and then apply an existing classification method such as binomial regression or a classification tree. ...The new method can be considered a semiparametric estimator of the Bayes rule …
The common practice is to artificially dichotomize the response variable and then apply an existing classification method such as bin …
Bayesian group testing with dilution effects.
Tatsuoka C, Chen W, Lu X. Tatsuoka C, et al. Biostatistics. 2023 Oct 18;24(4):885-900. doi: 10.1093/biostatistics/kxac004. Biostatistics. 2023. PMID: 35403204 Free PMC article.
It is shown that even under strong dilution effects, an intuitive group testing selection rule that relies on the model order structure, referred to as the Bayesian halving algorithm, has attractive optimal convergence properties. Analogous look-ahead rules that can reduce …
It is shown that even under strong dilution effects, an intuitive group testing selection rule that relies on the model order structu …
Decision-support systems in dentistry.
White SC. White SC. J Dent Educ. 1996 Jan;60(1):47-63. J Dent Educ. 1996. PMID: 8594103 Review.
Such systems usually use one of three mechanisms of analysis alone or in combination: classification trees, Bayesian conditional probabilities, or rule-based (heuristic) systems. ...
Such systems usually use one of three mechanisms of analysis alone or in combination: classification trees, Bayesian conditional prob …
Supervised DNA Barcodes species classification: analysis, comparisons and results.
Weitschek E, Fiscon G, Felici G. Weitschek E, et al. BioData Min. 2014 Apr 11;7(1):4. doi: 10.1186/1756-0381-7-4. BioData Min. 2014. PMID: 24721333 Free PMC article.
In particular, the function-based method Support Vector Machines (SVM), the rule-based RIPPER, the decision tree C4.5, and the Naive Bayes method are considered. ...Rule-based methods have slightly inferior classification performances, but deliver the …
In particular, the function-based method Support Vector Machines (SVM), the rule-based RIPPER, the decision tree C4.5, and the Naive …
245 results