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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…
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4 relations
Gary Drescher
Memory-prediction framework
On Intelligence
Broader (1)
Machine learning
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Unsupervised Learning aids Prediction: Using Future Representation Learning Variantial Autoencoder for Human Action Prediction
Runsheng Yu
,
Zhenyu Shi
,
Laiyun Qing
arXiv.org
2017
Corpus ID: 195347048
The unsupervised Pretraining method has been widely used in aiding human action recognition. However, existing methods focus on…
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2016
2016
A Classifier Ensemble for Concept Drift Using a Constrained Penalized Regression Combiner
Li-Yu Wang
,
Cheolwoo Park
,
Hosik Choi
,
Kyupil Yeon
2016
Corpus ID: 64014247
2015
2015
A Comparative Analysis of Predictive Learning Algorithms on High-Dimensional Microarray Cancer Data
J. Bill
,
Ernest Fokoue
Serdica Journal of Computing
2015
Corpus ID: 59519268
This research evaluates pattern recognition techniques on a subclass of big datawhere the dimensionality of the input space (p…
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2014
2014
Surprise and Curiosity for Big Data Robotics
Adam White
,
Joseph Modayil
,
R. Sutton
2014
Corpus ID: 14782363
This paper introduces a new perspective on curiosity and intrinsic motivation, viewed as the problem of generating behavior data…
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2012
2012
A New Architecture for Trustworthy Autonomic Systems
Thaddeus Eze
,
R. Anthony
,
C. Walshaw
,
A. Soper
2012
Corpus ID: 56319261
This paper presents work towards a new architecture for trustworthy autonomic systems (different from the traditional autonomic…
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2011
2011
Efficient mining for structurally diverse subgraph patterns in large molecular databases
Andreas Maunz
,
C. Helma
,
Stefan Kramer
Machine-mediated learning
2011
Corpus ID: 25588435
We present a new approach to large-scale graph mining based on so-called backbone refinement classes. The method efficiently…
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2010
2010
Summation in predictive learning in children
Felipe A. Cornejo
,
Ramón D. Castillo
,
M. A. Saavedra
,
Edgar H Vogel
2010
Corpus ID: 42237420
Considerable research has examined the contrasting predictions of configural and elemental associative accounts of learning. One…
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2006
2006
Classification of Ordinal Data
Jaime S. Cardoso
arXiv.org
2006
Corpus ID: 986218
Classification of ordinal data is one of the most important tasks of relation learning. In this thesis a novel framework for…
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2006
2006
Effects of context change upon retrieval of first and second-learned information in human predictive learning
Juan M. Rosas
,
Ana García-Gutiérrez
,
José E. Callejas-Aguilera
2006
Corpus ID: 146747358
Two experiments were conducted to evaluate the context switch effect upon retrieval of the information about a cue-outcome…
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2003
2003
The role of the number of cues on retroactive interference in human predictive learning
Ana García Gutiérrez
,
Juan M. Rosas
2003
Corpus ID: 56251023
Two experiments explored retroactive interference in human predictive learning. The name of a food was paired first with a…
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