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» Machine Translation by Case Generalization
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ASPLOS
2009
ACM
16 years 4 months ago
Complete information flow tracking from the gates up
For many mission-critical tasks, tight guarantees on the flow of information are desirable, for example, when handling important cryptographic keys or sensitive financial data. We...
Mohit Tiwari, Hassan M. G. Wassel, Bita Mazloom, S...
122
Voted
ALT
2004
Springer
16 years 11 days ago
Learning r-of-k Functions by Boosting
We investigate further improvement of boosting in the case that the target concept belongs to the class of r-of-k threshold Boolean functions, which answer “+1” if at least r o...
Kohei Hatano, Osamu Watanabe
120
Voted
ECML
2007
Springer
15 years 9 months ago
Nondeterministic Discretization of Weights Improves Accuracy of Neural Networks
Abstract. The paper investigates modification of backpropagation algorithm, consisting of discretization of neural network weights after each training cycle. This modification, a...
Marcin Wojnarski
COLT
2001
Springer
15 years 8 months ago
Robust Learning - Rich and Poor
A class C of recursive functions is called robustly learnable in the sense I (where I is any success criterion of learning) if not only C itself but even all transformed classes ...
John Case, Sanjay Jain, Frank Stephan, Rolf Wiehag...
LLL
1999
Springer
15 years 7 months ago
Learning to Lemmatise Slovene Words
Abstract. Automatic lemmatisation is a core application for many language processing tasks. In inflectionally rich languages, such as Slovene, assigning the correct lemma to each ...
Saso Dzeroski, Tomaz Erjavec