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AAAI
2006
13 years 10 months ago
Quantifying the Impact of Learning Algorithm Parameter Tuning
The impact of learning algorithm optimization by means of parameter tuning is studied. To do this, two quality attributes, sensitivity and classification performance, are investig...
Niklas Lavesson, Paul Davidsson
JIFS
2006
120views more  JIFS 2006»
13 years 9 months ago
Building similarity metrics reflecting utility in case-based reasoning
Fundamental to case-based reasoning is the idea that similar problems have similar solutions. The meaning of the concept of "similarity" can vary in different situations...
Ning Xiong, Peter Funk
CANDC
2009
ACM
14 years 3 months ago
Creativity factor evaluation: towards a standardized survey metric for creativity support
We present a new survey metric, the Creativity Support Index (CSI) that is designed to help researchers and designers evaluate the level of creativity support provided by various ...
Erin A. Carroll, Celine Latulipe, Richard Fung, Mi...
CIKM
2008
Springer
13 years 11 months ago
Metric-based ontology learning
Ontology learning is an important task in Artificial Intelligence, Semantic Web and Text Mining. This paper presents a novel framework for, and solutions to, three practical probl...
Hui Yang, Jamie Callan
CHI
2009
ACM
14 years 9 months ago
A survey of software learnability: metrics, methodologies and guidelines
It is well-accepted that learnability is an important aspect of usability, yet there is little agreement as to how learnability should be defined, measured, and evaluated. In this...
Tovi Grossman, George W. Fitzmaurice, Ramtin Attar