Marginal and simultaneous predictive classification using stratified graphical models [PDF]
, 2014 An inductive probabilistic classification rule must generally obey the principles of Bayesian predictive inference, such that all observed and unobserved stochastic quantities are jointly modeled and the parameter uncertainty is fully acknowledged ...
Corander, Jukka +3 more
core +1 more source
Extracting Explicable Rules for the Identification of Compound–Protein Interactions
IEEE Access, 2020 Compound-protein interaction (CPI) is one of the essential interaction patterns in living organisms. However, its underlying mechanism has not been fully revealed because of its complicated processes.
Liucun Zhu +4 more
doaj +1 more source
Constructing decision rules from naive bayes model for robust and low complexity classification
IJAIN (International Journal of Advances in Intelligent Informatics), 2021 A large spectrum of classifiers has been described in the literature. One attractive classification technique is a Naïve Bayes (NB) which has been relayed on probability theory.
Nabeel Hashim Al-Aaraji +2 more
doaj +1 more source
Interpretable multiclass classification by MDL-based rule lists [PDF]
, 2019 Interpretable classifiers have recently witnessed an increase in attention from the data mining community because they are inherently easier to understand and explain than their more complex counterparts.
Proença, Hugo M., van Leeuwen, Matthijs
core +3 more sources
Exploiting the user interaction context for automatic task detection [PDF]
, 2012 Detecting the task a user is performing on her computer desktop is important for providing her with contextualized and personalized support. Some recent approaches propose to perform automatic user task detection by means of classifiers using captured ...
Andreas S. Rath +3 more
core +4 more sources
Rule-based fuzzy classifier for spinal deformities
Bio-Medical Materials and Engineering, 2014 In this paper, 2-steps software using image processing and enhancement technologies is developed to obtain a scoliosis patient's spine pattern from 2D coronal X-Ray images without manual land marking. Then, a Rule-based Fuzzy classifier is implemented on those images to classify the spine patterns using the King-Moe classification approach.
Birtane, Sibel, Korkmaz, Hayriye
openaire +4 more sources
Swarm-Based Machine Learning Algorithm for Building Interpretable Classifiers
IEEE Access, 2020 This paper aims to produce classifiers that are not only accurate but also interpretable to decision makers. The classifiers are represented in the form of risk scores, i.e.
Diem Pham +3 more
doaj +1 more source
Computationally efficient rule-based classification for continuous streaming data [PDF]
, 2014 Advances in hardware and software technologies allow to capture streaming data. The area of Data Stream Mining (DSM) is concerned with the analysis of these vast amounts of data as it is generated in real-time.
Di Fatta, Giuseppe +4 more
core +1 more source
Symbiotic Evolution of Rule Based Classifiers [PDF]
, 2008 Authors wish to thank Mr. Pooya Esfandiar and Ms. Sima Lotfi for their help during implementation and testing of this task and Ms. Maryam Hasanzadeh for sharing the details of her implementation, test, and data sets.
Halavati, Ramin, Shouraki, Saeed Bagheri
openaire +2 more sources
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
openaire +3 more sources