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JMS
2010
90views more  JMS 2010»
14 years 8 months ago
Prediction of Clinical Conditions after Coronary Bypass Surgery using Dynamic Data Analysis
This work studies the impact of using dynamic information as features in a machine learning algorithm for the prediction task of classifying critically ill patients in two classes ...
Kristien Van Loon, Fabián Güiza, Geert...
PSYCHNOLOGY
2008
97views more  PSYCHNOLOGY 2008»
14 years 9 months ago
Being Inside the Quantum Atom
This article explores the possibility of using dynamic Educational Virtual Environments (EVEs) for helping students with limited background in physics and mathematics to deeply un...
Assimina M. Kontogeorgiou, Joan Bellou, Tassos A. ...
AAAI
2011
13 years 9 months ago
Combining Learned Discrete and Continuous Action Models
Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...
Joseph Z. Xu, John E. Laird
AVSS
2009
IEEE
15 years 28 days ago
Bayesian Bio-inspired Model for Learning Interactive Trajectories
—Automatic understanding of human behavior is an important and challenging objective in several surveillance applications. One of the main problems of this task consists in accur...
Alessio Dore, Carlo S. Regazzoni
E4MAS
2004
Springer
15 years 3 months ago
Supporting Context-Aware Interaction in Dynamic Multi-agent Systems
The increasing ubiquity of mobile computing devices has made mobile ad hoc networks an everyday occurrence. Applications in these networks are commonly structured as a logical netw...
Christine Julien, Gruia-Catalin Roman