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JDCTA
2010
104views more  JDCTA 2010»
15 years 1 months ago
Mean Shifts Identification Model in Bivariate Process Based on LS-SVM Pattern Recognizer
This study develops a least squares support vector machines (LS-SVM) based model for bivariate process to diagnose abnormal patterns of process mean vector, and to help identify a...
Zhi-Qiang Cheng, Yi-Zhong Ma, Jing Bu
ACL
2010
15 years 4 months ago
The Influence of Discourse on Syntax: A Psycholinguistic Model of Sentence Processing
Probabilistic models of sentence comprehension are increasingly relevant to questions concerning human language processing. However, such models are often limited to syntactic fac...
Amit Dubey
ARTMED
2006
108views more  ARTMED 2006»
15 years 6 months ago
Constructing explanatory process models from biological data and knowledge
We address the task of inducing explanatory models from observations and knowledge about candidate biological processes, using the illustrative problem of modeling photosynthesis ...
Pat Langley, Oren Shiran, Jeff Shrager, Ljupco Tod...
ICASSP
2011
IEEE
14 years 10 months ago
Whole word discriminative point process models
This paper introduces a discriminative extension to whole-word point process modeling techniques. Meant to circumvent the strong independence assumptions of their generative prede...
Aren Jansen
SIGPRO
2002
63views more  SIGPRO 2002»
15 years 6 months ago
Adding data process feedback to the nonlinear autoregressive model
A nonlinear autoregressive model, the process feedback nonlinear autoregressive (PFNAR) model, in which the autoregressive coe cients are a function of the combination of past dat...
Hiroko Kato, Tohru Ozaki