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» Using Random Forests in the Structured Language Model
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PLDI
2010
ACM
15 years 2 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
14 years 7 months 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
14 years 11 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, ...
MICCAI
2003
Springer
15 years 10 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
14 years 11 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