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ACL
1994
13 years 9 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
GECCO
2008
Springer
117views Optimization» more  GECCO 2008»
13 years 8 months ago
CrossNet: a framework for crossover with network-based chromosomal representations
We propose a new class of crossover operators for genetic algorithms (CrossNet) which use a network-based (or graphbased) chromosomal representation. We designed CrossNet with the...
Forrest Stonedahl, William Rand, Uri Wilensky
ICFP
2010
ACM
13 years 8 months ago
Distance makes the types grow stronger: a calculus for differential privacy
We want assurances that sensitive information will not be disclosed when aggregate data derived from a database is published. Differential privacy offers a strong statistical guar...
Jason Reed, Benjamin C. Pierce
MM
2010
ACM
125views Multimedia» more  MM 2010»
13 years 8 months ago
Tenor: making coding practical from servers to smartphones
It has been theoretically shown that performing coding in networked systems, including Reed-Solomon codes, fountain codes, and random network coding, has a clear advantage with re...
Hassan Shojania, Baochun Li
SIGCOMM
2010
ACM
13 years 8 months ago
Unbiased sampling in directed social graph
Microblogging services, such as Twitter, are among the most important online social networks(OSNs). Different from OSNs such as Facebook, the topology of microblogging service is ...
Tianyi Wang, Yang Chen, Zengbin Zhang, Peng Sun, B...
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