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» Statistical Models of Conditioning
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ACL
2008
15 years 7 months ago
Generalized Expectation Criteria for Semi-Supervised Learning of Conditional Random Fields
This paper presents a semi-supervised training method for linear-chain conditional random fields that makes use of labeled features rather than labeled instances. This is accompli...
Gideon S. Mann, Andrew McCallum
ICASSP
2011
IEEE
14 years 10 months ago
A Kalman-like algorithm with no requirements for noise and initial conditions
We address a Kalman-like estimator for solving universally the problems of filtering (p = 0), prediction (p > 0), and smoothing (p < 0) of discrete time-varying state-space...
Yuriy S. Shmaliy
CSDA
2010
67views more  CSDA 2010»
15 years 6 months ago
Using combinatorial optimization in model-based trimmed clustering with cardinality constraints
Statistical clustering criteria with free scale parameters and unknown cluster sizes are inclined to create small, spurious clusters. To mitigate this tendency a statistical model ...
María Teresa Gallegos, Gunter Ritter
ISIPTA
2005
IEEE
123views Mathematics» more  ISIPTA 2005»
15 years 12 months ago
On Coherent Variability Measures and Conditioning
Coherent upper and lower previsions are becoming more and more popular as a mathematical model for robust valuations under uncertainty. Likewise, the mathematically equivalent cla...
Sebastian Maaß
IJCNLP
2005
Springer
15 years 12 months ago
Chunking Using Conditional Random Fields in Korean Texts
We present a method of chunking in Korean texts using conditional random fields (CRFs), a recently introduced probabilistic model for labeling and segmenting sequence of data. In a...
Yong-Hun Lee, Mi-Young Kim, Jong-Hyeok Lee