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» Learning Behavior Models for Hybrid Timed Systems
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93
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CORR
2000
Springer
92views Education» more  CORR 2000»
15 years 9 days ago
Predicting the expected behavior of agents that learn about agents: the CLRI framework
We describe a framework and equations used to model and predict the behavior of multi-agent systems (MASs) with learning agents. A difference equation is used for calculating the ...
José M. Vidal, Edmund H. Durfee
105
Voted
NAACL
2007
15 years 1 months ago
Chinese Named Entity Recognition with Cascaded Hybrid Model
We propose a high-performance cascaded hybrid model for Chinese NER. Firstly, we use Boosting, a standard and theoretically wellfounded machine learning method to combine a set of...
Xiaofeng Yu
FASE
2004
Springer
15 years 4 months ago
Specification and Analysis of Real-Time Systems Using Real-Time Maude
Real-Time Maude is a language and tool supporting the formal specification and analysis of real-time and hybrid systems. The specification formalism is based on rewriting logic, em...
Peter Csaba Ölveczky, José Meseguer
114
Voted
AIED
2009
Springer
15 years 7 months ago
Modeling Task-Based vs. Affect-based Feedback Behavior in Pedagogical Agents: An Inductive Approach
Affect has been the subject of increasing attention in cognitive accounts of learning. Many intelligent tutoring systems now seek to adapt pedagogy to student affective and motivat...
Jennifer L. Robison, Scott W. McQuiggan, James C. ...
100
Voted
SBP
2010
Springer
15 years 4 months ago
A Dynamical Systems Model for Understanding Behavioral Interventions for Weight Loss
We propose a dynamical systems model that captures the daily fluctuations of human weight change, incorporating both physiological and psychological factors. The model consists of...
J.-Emeterio Navarro-Barrientos, Daniel E. Rivera, ...