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Showing 1 to 11 of 11 for “"Rule Induction"”.
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Pruning methods for rule induction
… concerned with discovering regularities in data. Rule induction is a powerful technique used in machine learning wherein the target concept is represented as a set of rules. The attraction of rule induction is that rules are more transparent and easier to understand compared to other induction …
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Interesting Rule Induction Module: Adding Support for Unknown Attribute Values
IRIM (Interesting Rule Induction Module) is a rule induction system designed to induce particularly strong, simple rule sets. Additionally, IRIM does not require prior discretization of numerical attribute values. IRIM does not necessarily produce consistent rules that fully describe the target …
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Strategies used by high-school students in solving a rule induction task
… between making a conjecture as to what rule determines which cards fit into the different positions of the sequence and then collecting more information about that sequence. Because these steps parallel key elements of ""the scientific method"" as it is typically characterized in …
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Investigating the Domain of Geometric Inductive Reasoning Problems: A Structural Equation Modeling Analysis
… subabilities were identified: working memory, rule induction, rule application, and figure detection. This quantitative study examined the relationship between these four subabilites and students' general ability to solve Matrix Reasoning problems. Using tests developed for this research to …
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Knowledge acquisition for expert systems: inducing modular rules from examples
… learning research, particularly into automatic rule induction from examples, may provide a way of easing this burden. Arguably, the most popular and successful rule induction algorithm in general use today is Quinlan's ID3. ID3 induces rules in the form of decision trees. However, the research …
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Financial prediction using non linear classification techniques
… (LVQ), Oblique Classifer (OCI), and Ripper Rule Induction (RRI).
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Behaviour recognition and monitoring of the elderly using wearable wireless sensors. Dynamic behaviour modelling and nonlinear classification methods and implementation.
… detection within Verity, with a method of Fuzzy-Rule induction designed for the system's adaptation to a user during operation. A dimension reduction and classification scheme utilising Curvilinear Distance Analysis is further developed to deal with the recognition task presented by increasingly …
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Active damage control using artificial intelligence: initial studies into identification and mitigation
… separate investigations. An AI technique called "rule induction" is used for the damage identification study. Velocity data from three plates (one without damage, one with damage at the center, and one with damage at the edge) are acquired using a laser data acquisition system. A set of rules is …
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Internet negotiation patterns and an appraisal of data mining from a managerial perspective : a case study approach
… behavior patterns of Internet negotiations: Tree Rule Induction (TRI), Artificial Neural Networks (ANN) and Logistic Regression Analysis (IRA). The results showed that the numbers of offers sent, especially during the early and middle negotiation stages, are positively related to reaching …
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Scenario discovery for a future of automated mobility on-demand in the urban environment
… energy consumption. We apply the Patient Rule Induction Method (PRIM), a method for clustering points within a hyper-space that fail to meet certain criteria, to both of these outputs. The strategies that were tested were: the current state; a strategy where automated mobility on-demand …
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Changes to Associative Learning Processes in Later Life
… were also more likely to be able to articulate a rule that had helped them learn the problem. Age itself was the most predominant predictor of accuracy in these experiments. Experiments 9, 10, and 11 were multiple stage experiments that looked at the extent of pro- and retro-active interference in …