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ISNN
2004
Springer
15 years 11 months ago
Realtime Monitoring of Vascular Conditions Using a Probabilistic Neural Network
Abstract. This paper proposes a new method to discriminate the vascular conditions from biological signals by using a probabilistic neural network, and develops the diagnosis suppo...
Akira Sakane, Toshio Tsuji, Yoshiyuki Tanaka, Kenj...
ACL
2006
15 years 7 months ago
Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling
We present a new semi-supervised training procedure for conditional random fields (CRFs) that can be used to train sequence segmentors and labelers from a combination of labeled a...
Feng Jiao, Shaojun Wang, Chi-Hoon Lee, Russell Gre...
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
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