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» Design Principles for Intelligent Environments
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TSMC
1998
78views more  TSMC 1998»
13 years 9 months ago
Automata learning and intelligent tertiary searching for stochastic point location
—Consider the problem of a robot (learning mechanism or algorithm) attempting to locate a point on a line. The mechanism interacts with a random environment which essentially inf...
B. John Oommen, Govindachari Raghunath
CIMCA
2005
IEEE
14 years 3 months ago
OntoBayes: An Ontology-Driven Uncertainty Model
— This paper describes an ontology-driven model, which integrates Bayesian Networks (BN) into the Ontology Web Language (OWL) to preserve the advantages of both. This model makes...
Yi Yang, Jacques Calmet
TLT
2008
77views more  TLT 2008»
13 years 9 months ago
The Scalable Adapter Design Pattern: Enabling Interoperability Between Educational Software Tools
For many practical learning scenarios, the integrated use of more than one learning tool is educationally beneficial. In these cases, interoperability between learning tools--getti...
Andreas Harrer, Niels Pinkwart, Bruce M. McLaren, ...
SAC
2005
ACM
14 years 3 months ago
Intelligent file management in ubiquitous environments
The paradigm of Ubiquitous computing seeks to build a computing environment that responds to user context. An ideal file system for the Ubiquitous environment is one that can succ...
Kartik Vishwanath, Arvind Gautam, Yugyung Lee
IIE
2006
74views more  IIE 2006»
13 years 9 months ago
Guidelines on the Design of Effective CBL Environments
This paper summarizes two studies and the contemporary literature on the design and construction of effective and efficient Computer Based Learning (CBL) environments. There is ade...
Athanasis Karoulis