Results 81 to 90 of about 20,174 (95)

Knowledge-based parameter identification of TSK fuzzy models

Applied Soft Computing, 2010
Linear/1st order Takagi-Sugeno-Kang (TSK) fuzzy models are widely used to identify static nonlinear systems from a set of input-output pairs. The synergetic integration of TSK fuzzy models with artificial neural networks (ANN) has led to the emergence of hybrid neuro-fuzzy models that can have excellent adaptability and interpretability at the same ...
Ashutosh Tewari, Mirna-Urquidi Macdonald
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Individuality of alphabet knowledge in online writer identification

International Journal on Document Analysis and Recognition (IJDAR), 2010
Allograph prototype approaches for writer identification have been gaining popularity recently due to its simplicity and promising identification rates. Character prototypes that are used as allographs produce a consistent set of templates that models the handwriting styles of writers, thereby allowing high accuracies to be attained.
Tan, Guoxian, Viard-Gaudin, Christian, Kot, A. C.   +2 more
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Identification of metabolite-disease associations based on knowledge graph

Metabolomics
Despite the insights that metabolite analysis can provide into the onset, development, and progression of diseases-thus offering new concepts and methodologies for prevention, diagnosis, and treatment-traditional wet lab experiments are often time-consuming and labor-intensive.
Fuheng, Xiao, Canling, Huang, Ali, Chen, Wei, Xiao, Zhanchao, Li   +4 more
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Automatic Identification of Conceptual Metaphors With Limited Knowledge

Proceedings of the AAAI Conference on Artificial Intelligence, 2013
Full natural language understanding requires identifying and analyzing the meanings of metaphors, which are ubiquitous in both text and speech. Over the last thirty years, linguistic metaphors have been shown to be based on more general conceptual metaphors, partial semantic mappings between disparate conceptual domains.
Lisa Gandy, Nadji Allan, Mark Atallah, Ophir Frieder, Newton Howard, Sergey Kanareykin, Moshe Koppel, Mark Last, Yair Neuman, Shlomo Argamon   +9 more
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Identification of boolean control networks incorporating prior knowledge

2017 IEEE 56th Annual Conference on Decision and Control (CDC), 2017
In this paper, we investigate identification problem of Boolean control networks (BCNs) by applying the semitensor product and representing the system matrices by binary parameters. Prior knowledge can be utilized to reduce the number of binary parameters in system matrices.
Zhihua Zhang, Thomas Leifeld, Ping Zhang
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A Priori Knowledge for Dynamic Identification of Robots

IFAC Proceedings Volumes, 1993
Abstract A priori information about parameters is necessary to generate exciting trajectories which improve the noise immunity of least squares estimation of inertial parameters of robot. This paper presents robust methods to obtain a priori knowledge about friction parameters, inertial parameters and drive gains, moving one axis at a time.
M. Gautler, C. Janin, C. Presse
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Knowledge identification phase of natural language analysis

1977
Case organization of verbs has provided a powerful mechanism for natural language analysis systems. However, only simple semantic-marker-like information has been used to determine the acceptibility of lexical elements as case-role fillers. Actually, this ability is influenced by more intricate relations among words.
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Identification of Participants of Narratives Using Knowledge Bases

Anais do XXXIX Simpósio Brasileiro de Banco de Dados (SBBD 2024)
Identifying participants in narratives is important to understand and extract meaning from unstructured texts. This paper investigates the use of DBpedia and Wikifier for this task. We tested these two knowledge base platforms to evaluate their performance in recognizing and extracting entities in Portuguese-language journalistic narrative texts.
Juliana Machado, Evelin Amorim
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IDENTIFICATION OF HYBRID SYSTEMS USING A PRIORI KNOWLEDGE

IFAC Proceedings Volumes, 2002
Abstract An approach for the identification of a class of hybrid systems is presented. The identification problem for hybrid systems is formulated as an optimization problem and two possible ways for an approximative solution of the problem are discussed. As a result of this discussion a top-down algorithm for the approximative solution is developed.
Eberhard Münz, Volker Krebs
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Conceptual Mapping of Valuable Knowledge Identification of Elements Impacting the Value of Knowledge

SSRN Electronic Journal, 2023
Muhammad Syed ul Haque, Danish Ahmed Siddiqui   +1 more
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