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ALT
2002
Springer
14 years 4 months ago
On the Learnability of Vector Spaces
The central topic of the paper is the learnability of the recursively enumerable subspaces of V∞/V , where V∞ is the standard recursive vector space over the rationals with (c...
Valentina S. Harizanov, Frank Stephan
ALT
2005
Springer
14 years 4 months ago
Teaching Learners with Restricted Mind Changes
Within learning theory teaching has been studied in various ways. In a common variant the teacher has to teach all learners that are restricted to output only consistent hypotheses...
Frank J. Balbach, Thomas Zeugmann
GECCO
2006
Springer
161views Optimization» more  GECCO 2006»
13 years 11 months ago
The LEM3 implementation of learnable evolution model and its testing on complex function optimization problems
1 Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new type o...
Janusz Wojtusiak, Ryszard S. Michalski
APPROX
2010
Springer
168views Algorithms» more  APPROX 2010»
13 years 8 months ago
Differential Privacy and the Fat-Shattering Dimension of Linear Queries
In this paper, we consider the task of answering linear queries under the constraint of differential privacy. This is a general and well-studied class of queries that captures oth...
Aaron Roth
JMLR
2010
104views more  JMLR 2010»
13 years 2 months ago
Learnability, Stability and Uniform Convergence
The problem of characterizing learnability is the most basic question of statistical learning theory. A fundamental and long-standing answer, at least for the case of supervised c...
Shai Shalev-Shwartz, Ohad Shamir, Nathan Srebro, K...