Results 211 to 220 of about 92,800 (264)

Explainability with Association Rule Learning for Weather Forecast

SN Computer Science, 2021
The reliability of the weather forecast models is a complex issue since it depends on numerous parameters and the technical infrastructure which supports them. In doing so, there is a need for advanced works oriented towards a better understanding of these models and the analysis of main associated parameters. Our approach is to study the applicability
Lassana Coulibaly, Bernard Kamsu-Foguem, Fana Tangara   +2 more
openaire   +1 more source

Learning activation rules for associative networks

Proceedings of International Conference on Neural Networks (ICNN'96), 2002
In neural networks involving associative recall, information is sometimes encoded using a local representation and predetermined, fired connection weights. Standard learning algorithms that alter weights are not useful in this situation as it is the activation rule that needs to be learned.
James A. Reggia, Eric L. Grundstrom, Rita Sloan Berndt   +2 more
openaire   +1 more source

Determining context of association rules by using machine learning

Journal of Experimental & Theoretical Artificial Intelligence, 2021
Association rule mining is typically used to uncover the enthralling interdependencies between the set of variables and reveals the hidden pattern within the dataset.
Kanwal Nisar, Muhammad Shaheen
openaire   +1 more source

LEARNING RULES FOR ASSOCIATIVE MEMORIES

Modern Physics Letters B, 1991
We discuss some of the most popular learning rules that can be used to construct Neural Networks that act as associative memories. The Hebb’s rule, perceptron type algorithms and the projector rule with local versions are included.
EDUARDO G. VERGINI, MARCELO G. BLATT
openaire   +1 more source

Learning Business Rules with Association Rule Classifiers

2014
The main obstacles for a straightforward use of association rules as candidate business rules are the excessive number of rules discovered even on small datasets, and the fact that contradicting rules are generated. This paper shows that Association Rule Classification algorithms, such as CBA, solve both these problems, and provides a practical guide ...
Tomás Kliegr, Jaroslav Kuchar, Davide Sottara, Stanislav Vojír   +3 more
openaire   +1 more source

Transductive learning to rank using association rules

Expert Systems with Applications, 2011
Learning to rank, a task to learn ranking functions to sort a set of entities using machine learning techniques, has recently attracted much interest in information retrieval and machine learning research. However, most of the existing work conducts a supervised learning fashion.
Yan Pan, Hai-Xia Luo, Hongrui Qi, Yong Tang   +3 more
openaire   +1 more source

Learning Fuzzy Association Rules and Associative Classification Rules

2006 IEEE International Conference on Fuzzy Systems, 2006
Learning association rules and/or associative classification rules has been extensively studied in data mining and knowledge discovery community. Associative classification rules are considered as constrained association rules. Mining traditional association rules from transaction databases, however, has suffered some limitations.
openaire   +1 more source

Learning rules for aversive associative memory formation

Current Opinion in Neurobiology, 2018
For survival, organisms need the ability to flexibly modify their behavior. To achieve this, the brain is equipped with instructive brain circuits which trigger changes in neural connectivity and adaptive changes in behavior in response to environmental/internal challenges.
Takaaki, Ozawa, Joshua P, Johansen
openaire   +2 more sources