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DAGM
2008
Springer
13 years 12 months ago
Approximate Parameter Learning in Conditional Random Fields: An Empirical Investigation
We investigate maximum likelihood parameter learning in Conditional Random Fields (CRF) and present an empirical study of pseudo-likelihood (PL) based approximations of the paramet...
Filip Korc, Wolfgang Förstner
SIROCCO
2008
13 years 11 months ago
Distributed Approximation Algorithm for Resource Clustering
In this paper, we consider the clustering of resources on large scale platforms. More precisely, we target parallel applications consisting of independant tasks, where each task is...
Olivier Beaumont, Nicolas Bonichon, Philippe Ducho...
EACL
2006
ACL Anthology
13 years 11 months ago
Online Learning of Approximate Dependency Parsing Algorithms
In this paper we extend the maximum spanning tree (MST) dependency parsing framework of McDonald et al. (2005c) to incorporate higher-order feature representations and allow depen...
Ryan T. McDonald, Fernando C. N. Pereira
WSC
2004
13 years 11 months ago
Approximate Time-Parallel Cache Simulation
In time-parallel simulation, the simulation time axis is decomposed into a number of slices which are assigned to parallel processes for concurrent simulation. Although a promisin...
Tobias Kiesling
ICASSP
2011
IEEE
13 years 1 months ago
Closed-form approximation of linear phase IIR digital filters with guaranteed stability
We develop a closed-form approximation algorithm for designing IIR digital filters with linear phase and guaranteed stability. In this algorithm, the stopband and passband edge f...
Masayoshi Nakamoto, Shuichi Ohno