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EMNLP
2011
14 years 6 months ago
Training dependency parsers by jointly optimizing multiple objectives
We present an online learning algorithm for training parsers which allows for the inclusion of multiple objective functions. The primary example is the extension of a standard sup...
Keith Hall, Ryan T. McDonald, Jason Katz-Brown, Mi...
TCC
2012
Springer
227views Cryptology» more  TCC 2012»
14 years 2 months ago
Hardness Preserving Constructions of Pseudorandom Functions
We show a hardness-preserving construction of a PRF from any length doubling PRG which improves upon known constructions whenever we can put a non-trivial upper bound q on the numb...
Abhishek Jain, Krzysztof Pietrzak, Aris Tentes
ICFP
2002
ACM
16 years 6 months ago
A demand-driven adaptive type analysis
Compilers for dynamically and statically typed languages ensure safe execution by verifying that all operations are performed on appropriate values. An operation as simple as car ...
Danny Dubé, Marc Feeley
FDL
2008
IEEE
16 years 1 months ago
Model-based Design Space Exploration for RTES with SysML and MARTE
The features of the emerging modeling languages for system design allow designers to build models of almost any kind of heterogeneous hardware-software systems, including Real Tim...
Marcello Mura, Luis Gabriel Murillo, Mauro Prevost...
EVOW
2003
Springer
15 years 12 months ago
Landscape State Machines: Tools for Evolutionary Algorithm Performance Analyses and Landscape/Algorithm Mapping
Abstract. Many evolutionary algorithm applications involve either fitness functions with high time complexity or large dimensionality (hence very many fitness evaluations will typi...
David Corne, Martin J. Oates, Douglas B. Kell