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» Machine-Learning Applications of Algorithmic Randomness
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NIPS
2000
13 years 9 months ago
One Microphone Source Separation
Source separation, or computational auditory scene analysis, attempts to extract individual acoustic objects from input which contains a mixture of sounds from different sources, ...
Sam T. Roweis
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 9 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 9 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