Results 151 to 160 of about 1,316,446 (197)

Possibility Rule-Based Classification Using Function Approximation

2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2018
When dealing with real-world problems, uncertainty in information is inevitable. Uncertainty can result from different sources such as noise, ambiguity or lack of knowledge. A category of problems withing the supervised learning framework in which the class membership of the training data is assessed by an expert and expressed in the form of a ...
Shabnam Nazmi, Abdollah Homaifar
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Rule-Based Classification Models of Molecular Autofluorescence

Journal of Chemical Information and Modeling, 2015
Fluorescence-based detection has been commonly used in high-throughput screening (HTS) assays. Autofluorescent compounds, which can emit light in the absence of artificial fluorescent markers, often interfere with the detection of fluorophores and result in false positive signals in these assays. This interference presents a major issue in fluorescence-
Bo-Han, Su, Yi-Shu, Tu, Olivia A, Lin, Yeu-Chern, Harn, Meng-Yu, Shen, Yufeng J, Tseng   +5 more
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Rule-Based Classification Systems for Informatics

2008 IEEE Fourth International Conference on eScience, 2008
Classification of data is an important step in the knowledge evolution of sciences. Traditionally, in sciences, classification of data was performed by human experts. Human knowledge can recognize unique functional properties that are necessary and sufficient to place complex structures and phenomena into a particular class or group.
B. Krishnamurthy, T. Malik, S. Stamatis, V. Venkatasubramanian, J. Caruthers   +4 more
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Rule-Based Classification for Evidential Data

2020
In this paper, we tackle the problem of multi-rules based classification for evidential data, i.e., data where imperfection is modeled through the Evidence theory. In this setting, a new algorithm called EviRC is introduced. This method uses different pruning techniques to omit irrelevant rules and defines a new matching criteria between the rules and ...
Nassim Bahri, Mohamed Anis Bach Tobji, Boutheina Ben Yaghlane   +2 more
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Hybrid Fuzzy Rule-Based Classification

2011 13th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2011
Many real world applications contain a decision making process which can be regarded as a pattern classification stage. Various pattern classification techniques have been introduced in the literature ranging from heuristic methods to intelligent soft computing techniques.
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Adaptive fuzzy rule-based classification systems

IEEE Transactions on Fuzzy Systems, 1996
This paper proposes an adaptive method to construct a fuzzy rule-based classification system with high performance for pattern classification problems. The proposed method consists of two procedures: an error correction-based learning procedure, and an additional learning procedure.
K. Nozaki, H. Ishibuchi, H. Tanaka
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Rule-Based Similarity for Classification

2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2009
This paper presents an ongoing research on the problem of assessing a similarity between objects in the context of classification. A new model of similarity is presented, called Rule-based Similarity (RBS), in which the similarity is expressed in terms of higher-level binary features of objects.
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Rule‐Based Classification of Chemical Structures by Scaffold

Molecular Informatics, 2011
AbstractDatabases for small organic chemical molecules usually contain millions of structures. The screening decks of pharmaceutical companies contain more than a million of structures. Nevertheless chemical substructure searching in these databases can be performed interactively in seconds.
Ansgar, Schuffenhauer, Thibault, Varin
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Protein Superfamily Classification Using Fuzzy Rule-Based Classifier

IEEE Transactions on NanoBioscience, 2009
In this paper, we have proposed a fuzzy rule-based classifier for assigning amino acid sequences into different superfamilies of proteins. While the most popular methods for protein classification rely on sequence alignment, our approach is alignment-free and so more human readable.
Eghbal G, Mansoori, Mansoor J, Zolghadri, Seraj D, Katebi   +2 more
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Review of Fuzzy Rule Based Classification systems

Research Journal of Pharmacy and Technology, 2016
Fuzzy Rule Based Classification systems (FRBCs) have received significant attention among the researchers due to the good behaviour in the real time databases. An important issue in the design of fuzzy rule-based classification system is the optimized generation of fuzzy if-then rules and the membership functions.
Chandrasekar Ravi, Neelu Khare
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