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» A New Way to Introduce Knowledge into Reinforcement Learning
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IACR
2011
212views more  IACR 2011»
13 years 9 months ago
Fully Homomorphic Encryption without Bootstrapping
We present a radically new approach to fully homomorphic encryption (FHE) that dramatically improves performance and bases security on weaker assumptions. A central conceptual con...
Zvika Brakerski, Craig Gentry, Vinod Vaikuntanatha...
BMCBI
2006
154views more  BMCBI 2006»
14 years 9 months ago
Automated recognition of malignancy mentions in biomedical literature
Background: The rapid proliferation of biomedical text makes it increasingly difficult for researchers to identify, synthesize, and utilize developed knowledge in their fields of ...
Yang Jin, Ryan T. McDonald, Kevin Lerman, Mark A. ...
PREMI
2005
Springer
15 years 3 months ago
Computational Molecular Biology of Genome Expression and Regulation
Abstract. Technological advances in experimental and computational molecular biology have revolutionized the whole fields of biology and medicine. Large-scale sequencing, expressio...
Michael Q. Zhang
ESANN
2004
14 years 11 months ago
Sparse LS-SVMs using additive regularization with a penalized validation criterion
This paper is based on a new way for determining the regularization trade-off in least squares support vector machines (LS-SVMs) via a mechanism of additive regularization which ha...
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De ...
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TLCA
2005
Springer
15 years 3 months ago
Privacy in Data Mining Using Formal Methods
There is growing public concern about personal data collected by both private and public sectors. People have very little control over what kinds of data are stored and how such da...
Stan Matwin, Amy P. Felty, István T. Hern&a...