Results 51 to 60 of about 3,458,167 (137)
Fault diagnosis of induction motor based on decision trees and adaptive neuro-fuzzy inference [PDF]
, 2009 This paper presents a fault diagnosis method based on adaptive neuro-fuzzy inference system (ANFIS) in combination with decision trees. Classification and regression tree (CART) which is one of the decision tree methods is used as a feature selection ...
Yang, Bo-Suk +5 more
core +1 more source
Nondeterministic Decision Rules in Classification Process [PDF]
, 2011 In the paper, we discuss nondeterministic rules in decision tables, called the second type nondeterministic rules. They have a few decisions values on the right hand side but on the left hand side only one attribute that has two values.
Paszek, P. +3 more
core +1 more source
DECISION TREES – A PERSPECTIVE OF ELECTRONIC DECISIONAL SUPPORT [PDF]
Without substitute decision-maker, decision support system, through their components,can facilitate the work of decision-maker by providing useful clues to solving problems andidentifying opportunities.
Janetta Sirbu +2 more
core
Decision making with decision event graphs [PDF]
, 2010 We introduce a new modelling representation, the Decision Event Graph (DEG), for asymmetric multistage decision problems. The DEG explicitly encodes conditional independences and has additional significant advantages over other representations of ...
Thwaites, Peter +2 more
core
Cost-Sensitive Decision Trees with Completion Time Requirements [PDF]
In many classification tasks, managing costs and completion times are the main concerns. In this paper, we assume that the completion time for classifying an instance is determined by its class label, and that a late penalty cost is incurred if the ...
Hung-Pin KAO, Kwei TANG, Jen TANG
core
Probabilistic Nearest Neighbors Classification. [PDF]
Entropy (Basel), 2023 Fava B, F PCM, Lopes HF.
europepmc +1 more source
Decision Trees for Binary Subword-Closed Languages. [PDF]
Entropy (Basel), 2023 Moshkov M.
europepmc +1 more source
Best-first Decision Tree Learning [PDF]
, 2007 In best-first top-down induction of decision trees, the best split is added in each step (e.g. the split that maximally reduces the Gini index). This is in contrast to the standard depth-first traversal of a tree.
Shi, Haijian
core
The Exposition of Fuzzy Decision Trees and their Application in Biology
, 2008 This chapter employs the fuzzy decision tree classification technique in a series of biological based application problems. With its employment in a fuzzy environment, the results, in the form of fuzzy ‘if ..
Kirsty Park +3 more
core +1 more source
mlf-core: a framework for deterministic machine learning. [PDF]
Bioinformatics, 2023 Heumos L +7 more
europepmc +1 more source