Generalization error

Known as: Generalisation error, Generalization (disambiguation)

In supervised learning applications in machine learning and statistical learning theory, generalization error (also known as the out-of-sample error…

Papers overview

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2014

Random forests have been used as effective models to tackle a number of classification and regression problems. In this paper, we…

2013

We propose a modular framework for multi-relational learning via tensor decomposition. In our learning setting, the training data…

2008

Equipment deteriorates as it is used and its vibration level usually increases accordingly. As a result, vibration has been used…

2006

Supervised and semi-supervised learning are frequently applied methods to annotate videos by map..ing low-level features into…

2005

Incorporation of prior knowledge into the learning process can significantly improve low-sample classification accuracy. We show…

2005

In classification problem, the learning process can be more efficient if the informative samples can be selected actively based…

2003

In the last four years the Righospital and the Technical University of Denmark have been working on a image classification for…

2000

A new dynamic strategy for Kohonen’s LVQ algorithms using growing and pruning methods is introduced. Once the learning system…

1999

1999

The statistical asymptotic theory is often used in theoreti- cal results in computational and statistical learning theory. It…