318 search results - page 24 / 64 » A comparison of machine learning techniques for phishing det... |
KI
2007
Springer
14 years 10 months ago
2007
Springer
Detecting unknown worms is a challenging task. Extant solutions, such as anti-virus tools, rely mainly on prior explicit knowledge of specific worm signatures. As a result, after t...
ICASSP
2009
IEEE
15 years 4 months ago
2009
IEEE
We present a framework for audio background modeling of complex and unstructured audio environments. The determination of background audio is important for understanding and predi...
IWANN
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. In Machine Learning, ensembles are combination of classifiers. Their objective is to improve the accuracy. In previous works, we have presented a method for the generati...
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ICML
2010
IEEE
14 years 11 months ago
2010
IEEE
Inference in graphical models has emerged as a promising technique for planning. A recent approach to decision-theoretic planning in relational domains uses forward inference in d...
ECML
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...