Results 71 to 80 of about 20,174 (95)
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Identification of Petri Nets from Knowledge of Their Language
Discrete Event Dynamic Systems, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
CABASINO, MARIA PAOLA +2 more
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Knowledge based identification of fractionally sampled channels
1995 International Conference on Acoustics, Speech, and Signal Processing, 1995Blind channel identification has been a popular research subject in recent years. We introduce the concept of knowledge-based blind channel identification. By relying on known information such as the pulse shaping filter and the antialiasing filter responses, the performance of channel identification and equalization can be significantly enhanced in ...
Zhi Ding, Z. Mao
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Knowledge-Based Identification of Multicomponent Therapies
2013In recent years, several approaches have been proposed to improve the capacity of pharmaceutical research to support personalized care. An approach that takes advantages of the large amount of biological knowledge continuously collected in different repositories could improve the drug discovery process.
Francesca Vitali +3 more
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Identification of signatures in biomedical spectra using domain knowledge
Artificial Intelligence in Medicine, 2005Demonstrate that incorporating domain knowledge into feature selection methods helps identify interpretable features with predictive capability comparable to a state-of-the-art classifier.Two feature selection methods, one using a genetic algorithm (GA) the other a L(1)-norm support vector machine (SVM), were investigated on three real-world biomedical
Pranckeviciene, E. +3 more
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The effect of vocabulary knowledge on novel word identification
Annals of Dyslexia, 2013The study investigated the relationship between vocabulary knowledge and novel word reading. Fourth-grade students were assessed on standardized measures of word identification, decoding, and receptive vocabulary, as well as on an experimental word identification measure using words that students in the fourth grade are unlikely to have seen before in ...
Mitchell, Alison M., Brady, Susan A.
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IMPROVING THE EFFICIENCY OF BIOMARKER IDENTIFICATION USING BIOLOGICAL KNOWLEDGE
Biocomputing 2009, 2008Identifying and validating biomarkers from high-throughput gene expression data is important for understanding and treating cancer. Typically, we identify candidate biomarkers as features that are differentially expressed between two or more classes of samples.
John H, Phan +3 more
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Knowledge of word length does not constrain word identification
Psychological Research, 2003Use of word length for word identification was examined in three naming experiments and one sentence reading experiment in which a foveally presented cue either matched or mismatched the length of a subsequently presented target word. Properties of the target were also manipulated so that it was either a high- or low-frequency word or so that its ...
Albrecht W, Inhoff, Brianna M, Eiter
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Merging of User's Knowledge into Identification Part of Self-Tuners
IFAC Proceedings Volumes, 1992Abstract The problem of incorporating user's knowledge - possibly uncertain and/or contradictory - is inspected. Bayesian methodology together with a technique of generating fictitious data are used for computing appropriate initial conditions of recursive least squares for estimating parameters of Gaussian ARX model.
J. Böhm, M. Kárný
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Knowledge Ontology: A Method for Empirical Identification of 'As-Is' Contextual Knowledge
Proceedings of the 38th Annual Hawaii International Conference on System Sciences, 2005In this paper, we consider existing approaches to ontology definition and validation. Popular techniques include the use of domain experts or reliance on formal logic. We consider these contemporary techniques, their motivation and limitations, and then suggest an empirical approach that statistically identifies knowledge ontology within contextual ...
T. Edgington, T.S. Raghu, A. Vinze
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Knowledge Based Simulation and Identification of Metallurgical Reactors
IFAC Proceedings Volumes, 1992Abstract This paper illustrates the application of a knowledge based system to perform fault-diagnosis and dynamic simulation of batch and continuous metallurgical and mineral processing systems. The proposed approach is essentially useful to simulate ill-defined dynamic processes where existing fundamental and empirical models fail owing to their ...
M.A. Reuter, J.S.J. van Deventer
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