"ordinal classification"

Generalised triangular distributions for ordinal deep learning: Novel proposal and optimisation

Deep learning techniques for ordinal classification have recently gained significant attention. Predicting an ordinal variable, that is, a variable that demonstrates a natural relationship between categories, is of relevance for a number of …

Studying the effect of different Lp norms in the context of Time Series Ordinal Classification

Time Series Ordinal Classification (TSOC) is yet an unexplored field of machine learning consisting in the classification of time series whose labels follow a natural order relationship between them. In this context, a well-known approach for time …

Distribution-Based Discretisation and Ordinal Classification Applied to Wave Height Prediction

Wave height prediction is an important task for ocean and marine resource management. Traditionally, regression techniques are used for this prediction, but estimating continuous changes in the corresponding time series can be very difficult. With …