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HIS
2007
13 years 9 months ago
Active Selection of Training Examples for Meta-Learning
Meta-Learning has been used to relate the performance of algorithms and the features of the problems being tackled. The knowledge in Meta-Learning is acquired from a set of meta-e...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...
ISSTA
2012
ACM
11 years 10 months ago
A quantitative study of accuracy in system call-based malware detection
Over the last decade, there has been a significant increase in the number and sophistication of malware-related attacks and infections. Many detection techniques have been propos...
Davide Canali, Andrea Lanzi, Davide Balzarotti, Ch...
CHI
2010
ACM
14 years 2 months ago
Physical activity motivating games: virtual rewards for real activity
Contemporary lifestyle has become increasingly sedentary: little physical (sports, exercises) and much sedentary (TV, computers) activity. The nature of sedentary activity is self...
Shlomo Berkovsky, Mac Coombe, Jill Freyne, Dipak B...
IJCNN
2008
IEEE
14 years 2 months ago
Active Meta-Learning with Uncertainty Sampling and Outlier Detection
Abstract— Meta-Learning has been used to predict the performance of learning algorithms based on descriptive features of the learning problems. Each training example in this cont...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...
ESEM
2010
ACM
13 years 6 months ago
Strengthening the empirical analysis of the relationship between Linus' Law and software security
Open source software is often considered to be secure because large developer communities can be leveraged to find and fix security vulnerabilities. Eric Raymond states Linus’ L...
Andrew Meneely, Laurie A. Williams