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ICML
2006
IEEE
16 years 5 months ago
Full Bayesian network classifiers
The structure of a Bayesian network (BN) encodes variable independence. Learning the structure of a BN, however, is typically of high computational complexity. In this paper, we e...
Jiang Su, Harry Zhang
GRAPHICSINTERFACE
2008
15 years 6 months ago
Analyzing the kinematics of bivariate pointing
Despite the importance of pointing-device movement to efficiency in interfaces, little is known on how target shape impacts speed, acceleration, and other kinematic properties of ...
Jaime Ruiz, David Tausky, Andrea Bunt, Edward Lank...
ICANN
2007
Springer
15 years 8 months ago
A Cognitive Model That Describes the Influence of Prior Knowledge on Concept Learning
It is well known that our prior knowledge and experiences affect how we learn new concepts. Although several formal modeling attempts have been made to quantitatively describe the ...
Toshihiko Matsuka, Yasuaki Sakamoto
AIR
2004
113views more  AIR 2004»
15 years 4 months ago
Class Noise vs. Attribute Noise: A Quantitative Study
Real-world data is never perfect and can often suffer from corruptions (noise) that may impact interpretations of the data, models created from the data and decisions made based on...
Xingquan Zhu, Xindong Wu
IADIS
2004
15 years 5 months ago
Participatory System Design as a Tool for Learning
This paper suggests that participatory system design methodologies may be used as a learning tool in academic environments. It reports from a successful experiment in this directi...
Claudia Roda