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GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
15 years 8 months ago
On the appropriateness of evolutionary rule learning algorithms for malware detection
In this paper, we evaluate the performance of ten well-known evolutionary and non-evolutionary rule learning algorithms. The comparative study is performed on a real-world classiï...
M. Zubair Shafiq, S. Momina Tabish, Muddassar Faro...
ECSA
2010
Springer
15 years 4 months ago
Learning from the Cell Life-Cycle: A Self-adaptive Paradigm
In the software domain, self-adaptive systems are able to modify their behavior at run-time to respond to changes in the environment they run, to changes of the users' require...
Antinisca Di Marco, Francesco Gallo, Paola Inverar...
AAAI
2012
13 years 6 months ago
Relative Attributes for Enhanced Human-Machine Communication
We propose to model relative attributes1 that capture the relationships between images and objects in terms of human-nameable visual properties. For example, the models can captur...
Devi Parikh, Adriana Kovashka, Amar Parkash, Krist...
ICALT
2008
IEEE
15 years 10 months ago
The Virtual Conductor: Learning and Teaching about Music, Performing, and Conducting
The Virtual Conductor is an artificial conducting system that uses real-time audio analysis of music played by musicians and uses this analysis to animate a virtual human that act...
Anton Nijholt, Dennis Reidsma, Rob Ebbers, Mark te...
ICML
2007
IEEE
16 years 4 months ago
Large-scale RLSC learning without agony
The advances in kernel-based learning necessitate the study on solving a large-scale non-sparse positive definite linear system. To provide a deterministic approach, recent resear...
Wenye Li, Kin-Hong Lee, Kwong-Sak Leung