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GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
14 years 1 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 classiď...
M. Zubair Shafiq, S. Momina Tabish, Muddassar Faro...
SMC
2007
IEEE
120views Control Systems» more  SMC 2007»
14 years 3 months ago
A data-dependent distance measure for transductive instance-based learning
— We consider learning in a transductive setting using instance-based learning (k-NN) and present a method for constructing a data-dependent distance “metric” using both labe...
Jared Lundell, Dan Ventura
UAI
1996
13 years 10 months ago
Critical Remarks on Single Link Search in Learning Belief Networks
In learning belief networks, the single link lookahead search is widely adopted to reduce the search space. We show that there exists a class of probabilistic domain models which ...
Yang Xiang, S. K. Michael Wong, Nick Cercone
CVPR
2006
IEEE
14 years 11 months ago
Dimensionality Reduction by Learning an Invariant Mapping
Dimensionality reduction involves mapping a set of high dimensional input points onto a low dimensional manifold so that "similar" points in input space are mapped to ne...
Raia Hadsell, Sumit Chopra, Yann LeCun
IWANN
1999
Springer
14 years 1 months ago
The Capacity and Attractor Basins of Associative Memory Models
The performance characteristics of five variants of the Hopfield network are examined. Two performance metrics are used: memory capacity, and a measure of the size of basins of att...
Neil Davey, S. P. Hunt