Distillation (Hinton et al., 2015) and privileged information (Vapnik & Izmailov, 2015) are two
techniques that enable machines to learn from other machines. This paper unifies these two …

Financial distress occurs when individuals or companies struggle to meet financial
obligations, often due to factors like high fixed costs, illiquidity, or revenue sensitivity to …

Default risk models have lately raised a great interest due to the recent world economic
crisis. In spite of many advanced techniques that have extensively been proposed, no …

Many machine learning algorithms assume that all input samples are independently and
identically distributed from some common distribution on either the input space X, in the …

The learning with privileged information setting has recently attracted a lot of attention within
the machine learning community, as it allows the integration of additional knowledge into the …

Financial business prediction has lately raised a great interest due to the recent world crisis
events. In spite of the many advanced shallow computational methods that have extensively …

Machine learning is the science of discovering statistical dependencies in data, and the use
of those dependencies to perform predictions. During the last decade, machine learning has …

One of the powerful techniques in data modeling is accounting for features that are available
at the training stage, but are not available when the trained model is used to classify or …

Learning using privileged information paradigm is a learning scenario that exploits
privileged features, available at training time, but not at prediction, as additional information …

Learning using privileged information (LUPI) is a machine learning paradigm which aims at
improving classification by taking advantage of information that is only available at training …