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COLT
2007
Springer
16 years 1 months ago
Observational Learning in Random Networks
In the standard model of observational learning, n agents sequentially decide between two alternatives a or b, one of which is objectively superior. Their choice is based on a stoc...
Julian Lorenz, Martin Marciniszyn, Angelika Steger
COLT
2007
Springer
16 years 1 months ago
Minimax Bounds for Active Learning
This paper analyzes the potential advantages and theoretical challenges of “active learning” algorithms. Active learning involves sequential sampling procedures that use infor...
Rui Castro, Robert D. Nowak
CP
2007
Springer
16 years 1 months ago
Limitations of Restricted Branching in Clause Learning
The techniques for making decisions, i.e., branching, play a central role in complete methods for solving structured CSP instances. In practice, there are cases when SAT solvers be...
Matti Järvisalo, Tommi A. Junttila
CP
2007
Springer
16 years 1 months ago
: The Design and Analysis of an Algorithm Portfolio for SAT
It has been widely observed that there is no “dominant” SAT solver; instead, different solvers perform best on different instances. Rather than following the traditional appr...
Lin Xu, Frank Hutter, Holger H. Hoos, Kevin Leyton...
CRYPTO
2007
Springer
132views Cryptology» more  CRYPTO 2007»
16 years 1 months ago
Secure Hybrid Encryption from Weakened Key Encapsulation
We put forward a new paradigm for building hybrid encryption schemes from constrained chosen-ciphertext secure (CCCA) key-encapsulation mechanisms (KEMs) plus authenticated symmet...
Dennis Hofheinz, Eike Kiltz