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ALT
1999
Springer
15 years 11 months ago
PAC Learning with Nasty Noise
We introduce a new model for learning in the presence of noise, which we call the Nasty Noise model. This model generalizes previously considered models of learning with noise. Th...
Nader H. Bshouty, Nadav Eiron, Eyal Kushilevitz
VLDB
1998
ACM
120views Database» more  VLDB 1998»
15 years 11 months ago
PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning
Classification is an important problem in data mining. Given a database of records, each with a class label, a classifier generates a concise and meaningful description for each c...
Rajeev Rastogi, Kyuseok Shim
DLS
2007
150views Languages» more  DLS 2007»
15 years 10 months ago
RPython: a step towards reconciling dynamically and statically typed OO languages
Although the C-based interpreter of Python is reasonably fast, implementations on the CLI or the JVM platforms offers some advantages in terms of robustness and interoperability. ...
Davide Ancona, Massimo Ancona, Antonio Cuni, Nicho...
CDC
2008
IEEE
129views Control Systems» more  CDC 2008»
15 years 8 months ago
Observer-based control of discrete-time piecewise affine systems: Exploiting continuity twice
Output-based feedback control of discrete-time hybrid systems is an important problem, as in practice it is rarely the case that the full state variable is available for feedback. ...
Maurice Heemels, Mircea Lazar, Nathan van de Wouw,...
205
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ECCV
2008
Springer
15 years 8 months ago
Unsupervised Classification and Part Localization by Consistency Amplification
We present a novel method for unsupervised classification, including the discovery of a new category and precise object and part localization. Given a set of unlabelled images, som...
Leonid Karlinsky, Michael Dinerstein, Dan Levi, Sh...