2 papers
stat.ML2018
A Comparative Study of Pairwise Learning Methods based on Kernel Ridge Regression
Michiel Stock, Tapio Pahikkala, Antti Airola +2
Many machine learning problems can be formulated as predicting labels for a pair of objects. Problems of that kind are often referred to as pairwise learning, dyadic prediction or…
cs.LG2016
Efficient Pairwise Learning Using Kernel Ridge Regression: an Exact Two-Step Method
Michiel Stock, Tapio Pahikkala, Antti Airola +2
Pairwise learning or dyadic prediction concerns the prediction of properties for pairs of objects. It can be seen as an umbrella covering various machine learning problems such as…