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Teaching Key Machine Learning Principles Using Anti-learning Datasets
Much of the teaching of machine learning focuses on iterative hill-climbing approaches and the use of local knowledge to gain information leading to local or global maxima.
Data classification using the Dempster-Shafer method
In this paper, the Dempster-Shafer method is employed as the theoretical basis for creating data classification systems.
Ensemble Learning of Colorectal Cancer Survival Rates
In this paper, we describe a dataset relating to cellular and physical conditions of patients who are operated upon to remove colorectal tumours.
Supervised Learning and Anti-learning of Colorectal Cancer Classes and Survival Rates from Cellular Biology Parameters
For predicting the stage of cancer from the immunological attributes, anti-learning approaches outperform a range of popular algorithms.
Biomarker Clustering of Colorectal Cancer Data to Complement Clinical Classification
In this paper, we describe a dataset relating to cellular and physical conditions of patients who are operated upon to remove colorectal tumours.
Validation of a Microsimulation of the Port of Dover
Modelling and simulating the traffic of heavily used but secure environments such as seaports and airports is of increasing importance.
