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ACL
1994
14 years 11 months ago
A Markov Language Learning Model for Finite Parameter Spaces
This paper shows how to formally characterize language learning in a finite parameter space as a Markov structure, hnportant new language learning results follow directly: explici...
Partha Niyogi, Robert C. Berwick
ACL
1998
14 years 11 months ago
Maximum Entropy Model Learning of the Translation Rules
This paper proposes a learning method of translation rules from parallel corpora. This method applies the maximum entropy principle to a probabilistic model of translation rules. ...
Kengo Sato, Masakazu Nakanishi
CRYPTO
2010
Springer
208views Cryptology» more  CRYPTO 2010»
14 years 10 months ago
Improved Delegation of Computation Using Fully Homomorphic Encryption
Following Gennaro, Gentry, and Parno (Cryptology ePrint Archive 2009/547), we use fully homomorphic encryption to design improved schemes for delegating computation. In such schem...
Kai-Min Chung, Yael Kalai, Salil P. Vadhan
DSN
2007
IEEE
15 years 4 months ago
Robustness and Security Hardening of COTS Software Libraries
COTS components, like software libraries, can be used to reduce the development effort. Unfortunately, many COTS components have been developed without a focus on robustness and s...
Martin Süßkraut, Christof Fetzer
ICALP
2010
Springer
14 years 11 months ago
From Secrecy to Soundness: Efficient Verification via Secure Computation
d Abstract) Benny Applebaum1 , Yuval Ishai2 , and Eyal Kushilevitz3 1 Computer Science Department, Weizmann Institute of Science 2 Computer Science Department, Technion and UCLA 3 ...
Benny Applebaum, Yuval Ishai, Eyal Kushilevitz