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Found 7 papers, 7 papers with code
Constructing Variables Using Classifiers as an Aid to Regression: An Empirical Assessment
This paper proposes a method for the automatic creation of variables (in the case of regression) that complement the information contained in the initial input vector.
A Practical Approach to Novel Class Discovery in Tabular Data
In particular, the number of novel classes is usually assumed to be known in advance, and their labels are sometimes used to tune hyperparameters.
An Interactive Interface for Novel Class Discovery in Tabular Data
This task is difficult and can often only be performed by a domain expert.
Novel Class Discovery: an Introduction and Key Concepts
We then give an overview of the different families of approaches, organized by the way they transfer knowledge from the labeled set to the unlabeled set.
Découvrir de nouvelles classes dans des données tabulaires
In Novel Class Discovery (NCD), the goal is to find new classes in an unlabeled set given a labeled set of known but different classes.
A Method for Discovering Novel Classes in Tabular Data
In this paper, we propose TabularNCD, a new method for discovering novel classes in tabular data.
Construction de variables a l'aide de classifieurs comme aide a la regression
This paper proposes a method for the automatic creation of variables (in the case of regression) that complement the information contained in the initial input vector.
