192 citations · 209 across the 4 of their papers we have counts for
4 papers
Applications of Deep Neural Networks with Keras
Jeff Heaton
Deep learning is a group of exciting new technologies for neural networks. Through a combination of advanced training techniques and neural network architectural components, it is…
Comparing Dataset Characteristics that Favor the Apriori, Eclat or FP-Growth Frequent Itemset Mining Algorithms
Jeff Heaton
Frequent itemset mining is a popular data mining technique. Apriori, Eclat, and FP-Growth are among the most common algorithms for frequent itemset mining. Considerable research ha…
An Empirical Analysis of Feature Engineering for Predictive Modeling
Jeff Heaton
Machine learning models, such as neural networks, decision trees, random forests, and gradient boosting machines, accept a feature vector, and provide a prediction. These models le…
Encog: Library of Interchangeable Machine Learning Models for Java and C#
Jeff Heaton
This paper introduces the Encog library for Java and C#, a scalable, adaptable, multiplatform machine learning framework that was 1st released in 2008. Encog allows a variety of ma…