318 search results - page 24 / 64 » A comparison of machine learning techniques for phishing det... |
162
click to vote
KI
2007
Springer
15 years 5 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...
160
click to vote
ICASSP
2009
IEEE
16 years 23 days 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...
148
click to vote
IWANN
2005
Springer
15 years 11 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...
191
click to vote
ICML
2010
IEEE
15 years 7 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...
148
click to vote
ECML
2005
Springer
15 years 11 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...