Sentence examples for structural learning from inspiring English sources

Structural learning [2 8] essentially reduces the dimensionality of the space that the learning organism has to search to adapt to novel tasks.

To this end we design a multi-label classifier based on Bayesian networks and learn its structure through structural learning.

This is the essence of structural learning (which we use synonymous with structure learning).

The exploitation of such co-variations is consistent with structural learning and its effect on the structure of movement variability.

We start with the situation of parameter learning for a known BN structure, followed by the more difficult problem of structural learning.

Structural learning predicts facilitation effects that are specific for the sensorimotor structure that has been learned.

Proposed here is the learning of modular networks using structural learning with forgetting.

This paper presents a new tracking by detection method based on online structural learning.

Conditional log-likelihood scoring is developed for structural learning on continuous time Bayesian network classifiers.

The decomposition of structural learning requires conditional independencies, but it does not require that separators are complete undirected subgraphs.

Domain or prior knowledge of conditional independencies can be utilized to facilitate the decomposition of structural learning.