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1 Introduction. Recognizing the behavior of others is a significant aspect of many different human tasks. In order to make a good decision, humans.
The aim of this research is to provide a general framework which can represent and classify different agent behaviors in a wide range of domains and as the ...
An Efficient Behavior Classifier based on Distributions of Relevant Events. Authors: Jose Antonio Iglesias. Jose Antonio Iglesias. Carlos III University of ...
Abstract and Figures · 1 Introduction. Recognizing the behavior of others is a significant aspect of many. different human tasks. In order to make a good decision ...
An Efficient Behavior Classifier based on Distributions of Relevant Events. Iglesias, J. A., Ledezma, A., Sanchis, A., & Kaminka, G. A. In Proceedings of ...
An Efficient Behavior Classifier based on Distributions of Relevant Events. Jose Antonio Iglesias, Agapito Ledezma, Araceli Sanchis, and Gal A. Kaminka. An ...
To make good decisions in a social context, humans often need to recognize the plan underlying the behavior of others, and make predictions based on this ...
As temporal dependencies among activities are useful, proposed approach creates a user profile as a distribution of relevant subsequences. A activity sequence ...
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This paper highlights that metrics from the machine learning field (eg, entropy and information gain) used to qualify a classifier model can be used to ...
This paper investigates the use of different supervised machine learning techniques to model the potential distribution of 35 plant species from Latin America.