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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 classiļ...
M. Zubair Shafiq, S. Momina Tabish, Muddassar Faro...
CHI
2010
ACM
15 years 10 months ago
Interactive optimization for steering machine classification
Interest has been growing within HCI on the use of machine learning and reasoning in applications to classify such hidden states as user intentions, based on observations. HCI res...
Ashish Kapoor, Bongshin Lee, Desney S. Tan, Eric H...
MLDM
2009
Springer
15 years 10 months ago
Discretization of Target Attributes for Subgroup Discovery
Abstract. We describe an algorithm called TargetCluster for the discretization of continuous targets in subgroup discovery. The algorithm identifies patterns in the target data an...
Katherine Moreland, Klaus Truemper
ALT
2005
Springer
16 years 16 days ago
An Analysis of the Anti-learning Phenomenon for the Class Symmetric Polyhedron
This paper deals with an unusual phenomenon where most machine learning algorithms yield good performance on the training set but systematically worse than random performance on th...
Adam Kowalczyk, Olivier Chapelle
138
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COLT
2003
Springer
15 years 8 months ago
Maximum Margin Algorithms with Boolean Kernels
Recent work has introduced Boolean kernels with which one can learn linear threshold functions over a feature space containing all conjunctions of length up to k (for any 1 ≤ k ...
Roni Khardon, Rocco A. Servedio