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» Mobile learning: A framework and evaluation
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HUC
2007
Springer
14 years 3 months ago
Why It's Worth the Hassle: The Value of In-Situ Studies When Designing Ubicomp
How should Ubicomp technologies be evaluated? While lab studies are good at sensing aspects of human behavior and revealing usability problems, they are poor at capturing context o...
Yvonne Rogers, Kay Connelly, Lenore Tedesco, Willi...
ACMSE
2007
ACM
14 years 1 months ago
Integrating BlackBerry wireless devices into computer programming and literacy courses
In this paper we describe our experience in integrating the RIM's BlackBerry handheld wireless device into programming and literacy courses at the University of Guelph and th...
Qusay H. Mahmoud, Allan Dyer
CATA
2003
13 years 10 months ago
A Restaurant Finder using Belief-Desire-Intention Agent Model and Java Technology
It is becoming more important to design systems capable of performing high-level management and control tasks in interactive dynamic environments. At the same time, it is difficul...
Dongqing Lin, Thomas P. Wiggen, Chang-Hyun Jo
ICML
2007
IEEE
14 years 10 months ago
Discriminant analysis in correlation similarity measure space
Correlation is one of the most widely used similarity measures in machine learning like Euclidean and Mahalanobis distances. However, compared with proposed numerous discriminant ...
Yong Ma, Shihong Lao, Erina Takikawa, Masato Kawad...
ML
2008
ACM
13 years 9 months ago
A bias/variance decomposition for models using collective inference
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
Jennifer Neville, David Jensen