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» Using Random Forests in the Structured Language Model
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PLDI
2010
ACM
15 years 7 months ago
Traceable data types for self-adjusting computation
Self-adjusting computation provides an evaluation model where computations can respond automatically to modifications to their data by using a mechanism for propagating modifica...
Umut A. Acar, Guy E. Blelloch, Ruy Ley-Wild, Kanat...
EJC
2009
15 years 6 days ago
From Word Form Surfaces to Communication
The starting point of this paper is the external surface of a word form, for example the agent-external acoustic perturbations constituting a language sign in speech or the dots o...
Roland Hausser
SNPD
2003
15 years 3 months ago
Semantics of Minimally Synchronous Parallel ML
This paper presents a new functional parallel language: Minimally Synchronous Parallel ML. The execution time can then be estimated and dead-locks and indeterminism are avoided. I...
Myrto Arapinis, Frédéric Loulergue, ...
129
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MICCAI
2003
Springer
16 years 3 months ago
A New Brain Segmentation Framework
We present a new brain segmentation framework which we apply to T1-weighted magnetic resonance image segmentation. The innovation of the algorithm in comparison to the state-of-the...
Torsten Butz, Patric Hagmann, Eric Tardif, Reto Me...
UAI
2008
15 years 3 months ago
Efficient Inference in Persistent Dynamic Bayesian Networks
Numerous temporal inference tasks such as fault monitoring and anomaly detection exhibit a persistence property: for example, if something breaks, it stays broken until an interve...
Tomás Singliar, Denver Dash