Palestra: Learning from Data and Background knowledge


Palestra: Learning from Data and Background knowledge
It is often possible to combine observed data with background knowledge, expressed as a set of rules or as a terminology. There has been significant work on the combination of data-centered methods, often based on probabilities, and knowledge-based cues, often based on logical languages. We will examine a number of tools that can help one combine data and knowledge when trying to learn a model. By Fabio Cozman
fonte: InfoQ
Palestra: Learning from Data and Background knowledge

Tags:

Comente