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» Learning about and through Empirical Modelling
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KCAP
2003
ACM
14 years 1 months ago
Capturing interest through inference and visualization: ontological user profiling in recommender systems
Tools for filtering the World Wide Web exist, but they are hampered by the difficulty of capturing user preferences in such a diverse and dynamic environment. Recommender systems ...
Stuart E. Middleton, Nigel R. Shadbolt, David De R...
ICALT
2005
IEEE
14 years 2 months ago
Learning Units Design Based in Grid Computing
: The development of cooperative, flexible and reusable learning environments is a need in modern education. The IMS Learning Design specification has played a very important role ...
Leonel Iriarte Navarro, Manuel Marco Such, Alexand...
ECAI
2004
Springer
14 years 1 months ago
Towards Efficient Learning of Neural Network Ensembles from Arbitrarily Large Datasets
Advances in data collection technologies allow accumulation of large and high dimensional datasets and provide opportunities for learning high quality classification and regression...
Kang Peng, Zoran Obradovic, Slobodan Vucetic
ATAL
2010
Springer
13 years 9 months ago
Bootstrapping trust evaluations through stereotypes
In open, dynamic multi-agent systems, agents may form short-term ad-hoc groups, such as coalitions, in order to meet their goals. Trust and reputation are crucial concepts in thes...
Chris Burnett, Timothy J. Norman, Katia P. Sycara
ER
1999
Springer
196views Database» more  ER 1999»
14 years 21 days ago
A Process-Integrated Conceptual Design Environment for Chemical Engineering
Abstract. The process industries (chemicals, food, oil, ...) are characterized by - continuous or batch -- processes of material transformation. The design of such processes, and t...
Matthias Jarke, Thomas List, Klaus Weidenhaupt