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» Learning All Subfunctions of a Function
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ICPR
2010
IEEE
13 years 10 months ago
Pattern Recognition Using Functions of Multiple Instances
The Functions of Multiple Instances (FUMI) method for learning a target prototype from data points that are functions of target and non-target prototypes is introduced. In this pa...
Alina Zare, Paul Gader
ALT
1999
Springer
13 years 11 months ago
On the Uniform Learnability of Approximations to Non-Recursive Functions
Abstract. Blum and Blum (1975) showed that a class B of suitable recursive approximations to the halting problem is reliably EX-learnable. These investigations are carried on by sh...
Frank Stephan, Thomas Zeugmann
EUROCRYPT
2000
Springer
13 years 11 months ago
Exposure-Resilient Functions and All-or-Nothing Transforms
Abstract. We study the problem of partial key exposure. Standard cryptographic definitions and constructions do not guarantee any security even if a tiny fraction of the secret key...
Ran Canetti, Yevgeniy Dodis, Shai Halevi, Eyal Kus...
CAE
2005
13 years 9 months ago
Form Follows Function: Aesthetic Interactive Labels
Labels effectively convey co-referential relations between textual and visual elements and are a powerful tool to support learning tasks. Therefore, almost all illustrations in sc...
Timo Götzelmann, Kamran Ali, Knut Hartmann, T...
JMLR
2010
103views more  JMLR 2010»
13 years 2 months ago
Learning Nonlinear Dynamic Models from Non-sequenced Data
Virtually all methods of learning dynamic systems from data start from the same basic assumption: the learning algorithm will be given a sequence of data generated from the dynami...
Tzu-Kuo Huang, Le Song, Jeff Schneider