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JMLR
2012
11 years 8 months ago
Deterministic Annealing for Semi-Supervised Structured Output Learning
In this paper we propose a new approach for semi-supervised structured output learning. Our approach uses relaxed labeling on unlabeled data to deal with the combinatorial nature ...
Paramveer S. Dhillon, S. Sathiya Keerthi, Kedar Be...
PPOPP
2012
ACM
12 years 1 months ago
Internally deterministic parallel algorithms can be fast
The virtues of deterministic parallelism have been argued for decades and many forms of deterministic parallelism have been described and analyzed. Here we are concerned with one ...
Guy E. Blelloch, Jeremy T. Fineman, Phillip B. Gib...
CDC
2010
IEEE
117views Control Systems» more  CDC 2010»
13 years 15 days ago
A symmetric structure of variational and adjoint systems of stochastic Hamiltonian systems
Abstract-- The authors have extended deterministic portHamiltonian systems into stochastic dynamical systems which are described by stochastic differential equations written in the...
Satoshi Satoh, Kenji Fujimoto
PODS
2006
ACM
108views Database» more  PODS 2006»
14 years 5 months ago
Deterministic k-set structure
A k-set structure over data streams is a bounded-space data structure that supports stream insertion and deletion operations and returns the set of (item, frequency) pairs in the s...
Sumit Ganguly, Anirban Majumder
IDEAS
2003
IEEE
91views Database» more  IDEAS 2003»
13 years 10 months ago
Implementation Issues of a Deterministic Transformation System for Structured Document Query Optimization
As the popularity of XML keeps growing rapidly, XML compliant structured document management becomes an interesting and compelling research area. Query optimization for structured...
Dunren Che