596 search results - page 50 / 120 » Detecting worm variants using machine learning |
144
Voted
ICML
1999
IEEE
16 years 3 months ago
1999
IEEE
AdaCost, a variant of AdaBoost, is a misclassification cost-sensitive boosting method. It uses the cost of misclassifications to update the training distribution on successive boo...
128
click to vote
ECML
2006
Springer
15 years 4 months ago
2006
Springer
We propose preprocessing spectral clustering with b-matching to remove spurious edges in the adjacency graph prior to clustering. B-matching is a generalization of traditional maxi...
149
Voted
IJCNN
2007
IEEE
15 years 9 months ago
2007
IEEE
Abstract— The generalised linear model (GLM) is the standard approach in classical statistics for regression tasks where it is appropriate to measure the data misfit using a lik...
131
Voted
DAGSTUHL
2004
15 years 4 months ago
2004
Next to prediction accuracy, the interpretability of models is one of the fundamental criteria for machine learning algorithms. While high accuracy learners have intensively been e...
121
Voted
ESANN
2006
15 years 4 months ago
2006
Abstract. We introduce a new class of recurrent, truly sequential SVM-like devices with internal adaptive states, trained by a novel method called EVOlution of systems with KErnel-...