Skip to search formSkip to main contentSkip to account menu

Predictive learning

Predictive learning is a technique of machine learning in which an agent tries to build a model of its environment by trying out different actions in… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
The unsupervised Pretraining method has been widely used in aiding human action recognition. However, existing methods focus on… 
2015
2015
This research evaluates pattern recognition techniques on a subclass of big datawhere the dimensionality of the input space (p… 
2014
2014
This paper introduces a new perspective on curiosity and intrinsic motivation, viewed as the problem of generating behavior data… 
2012
2012
This paper presents work towards a new architecture for trustworthy autonomic systems (different from the traditional autonomic… 
2011
2011
We present a new approach to large-scale graph mining based on so-called backbone refinement classes. The method efficiently… 
2010
2010
Considerable research has examined the contrasting predictions of configural and elemental associative accounts of learning. One… 
2006
2006
Classification of ordinal data is one of the most important tasks of relation learning. In this thesis a novel framework for… 
2006
2006
Two experiments were conducted to evaluate the context switch effect upon retrieval of the information about a cue-outcome… 
2003
2003
Two experiments explored retroactive interference in human predictive learning. The name of a food was paired first with a…