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» Active learning for directed exploration of complex systems
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SMC
2007
IEEE
102views Control Systems» more  SMC 2007»
15 years 6 months ago
An improved immune Q-learning algorithm
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
Zhengqiao Ji, Q. M. Jonathan Wu, Maher A. Sid-Ahme...
98
Voted
EDM
2009
153views Data Mining» more  EDM 2009»
14 years 10 months ago
Automatic Detection of Student Mental Models During Prior Knowledge Activation in MetaTutor
This paper presents several methods to automatically detecting students' mental models in MetaTutor, an intelligent tutoring system that teaches students self-regulatory proce...
Vasile Rus, Mihai C. Lintean, Roger Azevedo
VLSID
2007
IEEE
206views VLSI» more  VLSID 2007»
16 years 28 days ago
MAX: A Multi Objective Memory Architecture eXploration Framework for Embedded Systems-on-Chip
Today's feature-rich multimedia products require embedded system solution with complex System-on-Chip (SoC) to meet market expectations of high performance at a low cost and l...
T. S. Rajesh Kumar, C. P. Ravikumar, R. Govindaraj...
WWW
2004
ACM
16 years 1 months ago
Mining models of human activities from the web
The ability to determine what day-to-day activity (such as cooking pasta, taking a pill, or watching a video) a person is performing is of interest in many application domains. A ...
Mike Perkowitz, Matthai Philipose, Kenneth P. Fish...
96
Voted
DIGRA
2005
Springer
15 years 6 months ago
Learning Games as a Platform for Simulated Science Practice
In recent years, science education has been the focus of study and development of new gamebased learning environments. It has been argued that active and critical learning about r...
Rikke Magnussen