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» Statistical Models of Conditioning
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ACL
2008
15 years 4 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 6 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
86
Voted
CSDA
2010
67views more  CSDA 2010»
15 years 2 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
109
Voted
ISIPTA
2005
IEEE
123views Mathematics» more  ISIPTA 2005»
15 years 8 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 8 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