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» The Inverse Classification Problem
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ECAI
2006
Springer
15 years 10 months ago
A Learning Classifier Approach to Tomography
Tomography is an important technique for noninvasive imaging: images of the interior of an object are computed from several scanned projections of the object, covering a range of a...
Kees Joost Batenburg
ALGORITHMICA
2006
74views more  ALGORITHMICA 2006»
15 years 6 months ago
Parallelizing Feature Selection
Classification is a key problem in machine learning/data mining. Algorithms for classification have the ability to predict the class of a new instance after having been trained on...
Jerffeson Teixeira de Souza, Stan Matwin, Nathalie...
PODS
2008
ACM
155views Database» more  PODS 2008»
16 years 6 months ago
The recovery of a schema mapping: bringing exchanged data back
A schema mapping is a specification that describes how data from a source schema is to be mapped to a target schema. Once the data has been transferred from the source to the targ...
Marcelo Arenas, Jorge Pérez, Cristian River...
ISRR
2005
Springer
138views Robotics» more  ISRR 2005»
16 years 8 days ago
One Is Enough!
We postulate that multi-wheel statically-stable mobile robots for operation in human environments are an evolutionarydead end. Robots of this class tall enough to interact meaning...
Tom Lauwers, George Kantor, Ralph L. Hollis
ASIACRYPT
2004
Springer
16 years 5 days ago
Eliminating Random Permutation Oracles in the Even-Mansour Cipher
Abstract. Even and Mansour [EM97] proposed a block cipher construction that takes a publicly computable random permutation oracle P and XORs different keys prior to and after appl...
Craig Gentry, Zulfikar Ramzan