Machine learning approaches

This research sought to uncover the circumstances in which stakeholder interaction around the various perspectives on problem gambling might lead to a socially responsible approach to the management of poker machine gambling in clubs. The study’s methodology adapted a learning history framework of participative action research, and recruited stakeholders to act as “co-researchers” in a transparent-research approach to the exploration of the research question.

371p runthenight04 02-02-2023 8 2   Download

The main goal of this study is to investigate the classification capability of several machine learning (ML) techniques, including decision tree (DT), multilayer perceptron (MLP) network, Naïve Bayes, radial basis function (RBF) network, and support vector machine (SVM) for predicting purchase decisions.

10p tohitohi 22-05-2020 47 4   Download

In this tutorial I will introduce ‘learning to rank’, a machine learning technology on constructing a model for ranking objects using training data. I will first explain the problem formulation of learning to rank, and relations between learning to rank and the other learning tasks. I will then describe learning to rank methods developed in recent years, including pointwise, pairwise, and listwise approaches.

1p hongphan_1 15-04-2013 53 2   Download