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» Population Training Heuristics
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103
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IDA
2002
Springer
15 years 8 days ago
Evolutionary model selection in unsupervised learning
Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for the improved understandability, scalability, and pos...
YongSeog Kim, W. Nick Street, Filippo Menczer
KDD
2010
ACM
272views Data Mining» more  KDD 2010»
15 years 4 months ago
Beyond heuristics: learning to classify vulnerabilities and predict exploits
The security demands on modern system administration are enormous and getting worse. Chief among these demands, administrators must monitor the continual ongoing disclosure of sof...
Mehran Bozorgi, Lawrence K. Saul, Stefan Savage, G...
ICASSP
2008
IEEE
15 years 7 months ago
Information theoretic bounds on neural prosthesis effectiveness: The importance of spike sorting
We compute the capacity of neural prostheses using a vector Poisson process model for the neural population channel. For single-electrode stimulation prostheses, the capacity is p...
Ilan N. Goodman, Don H. Johnson
CVPR
2008
IEEE
15 years 7 months ago
Modeling the structure of multivariate manifolds: Shape maps
We propose a shape population metric that reflects the interdependencies between points observed in a set of examples. It provides a notion of topology for shape and appearance m...
Georg Langs, Nikos Paragios
54
Voted
IADIS
2004
15 years 1 months ago
Deployment of ICT application in rural India - our experience
The usability of software in rural environment is difficult for various reasons. Hence, the digital-divide remains between rural and urban population. The local language support, ...
Sree Kumar R., Neelanarayanan Venkataraman, Balaji...