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  1. International Journal of Machine Learning and Cybernetics
  2. International Journal of Machine Learning and Cybernetics : Volume 8
  3. International Journal of Machine Learning and Cybernetics : Volume 8, Issue 1, February 2017
  4. Three-way conceptual approach for cognitive memory functionalities
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International Journal of Machine Learning and Cybernetics : Volume 8
International Journal of Machine Learning and Cybernetics : Volume 8, Issue 6, December 2017
International Journal of Machine Learning and Cybernetics : Volume 8, Issue 5, October 2017
International Journal of Machine Learning and Cybernetics : Volume 8, Issue 4, August 2017
International Journal of Machine Learning and Cybernetics : Volume 8, Issue 3, June 2017
International Journal of Machine Learning and Cybernetics : Volume 8, Issue 2, April 2017
International Journal of Machine Learning and Cybernetics : Volume 8, Issue 1, February 2017
Editorial
Interval sets and three-way concept analysis in incomplete contexts
Three-way conceptual approach for cognitive memory functionalities
Three-way decisions model based on tolerance rough fuzzy set
Multi-level interval-valued fuzzy concept lattices and their attribute reduction
Method for generating decision implication canonical basis based on true premises
Three-way fuzzy concept lattice representation using neutrosophic set
Attribute reduction in inconsistent formal decision contexts based on congruence relations
Decomposition methods of formal contexts to construct concept lattices
Constructing lattice based on irreducible concepts
Concept acquisition approach of object-oriented concept lattices
Attributes reduction and rules acquisition in an lattice-valued information system with fuzzy decision
Multi-scaled concept lattices based on neighborhood systems
Cognitive concept learning from incomplete information
Name identification and extraction with formal concept analysis
Concepts reduction in formal concept analysis with fuzzy setting using Shannon entropy
Closed-set lattice and modular matroid induced by covering-based rough sets
Incremental approaches to knowledge reduction based on characteristic matrices
Improving news articles recommendations via user clustering
Ideals and fuzzy ideals on residuated lattices
N-Dimensional fuzzy hyperideals in semihyperrings
Stability of stochastic fuzzy BAM neural networks with discrete and distributed time-varying delays
A graph optimization method for dimensionality reduction with pairwise constraints
A robust periodicity mining method from incomplete and noisy observations based on relative entropy
A structural information-based twin-hypersphere support vector machine classifier
Optimal sizing of CMOS analog circuits using gravitational search algorithm with particle swarm optimization
Chinese-Naxi machine translation method based on Naxi dependency language model
A comparison of three types of rough fuzzy sets based on two universal sets
Semi-supervised self-training for decision tree classifiers
Speed-up ellipse enclosing character detection approach for large-size document images by parallel scanning and Hough transform
International Journal of Machine Learning and Cybernetics : Volume 7
International Journal of Machine Learning and Cybernetics : Volume 6
International Journal of Machine Learning and Cybernetics : Volume 5
International Journal of Machine Learning and Cybernetics : Volume 4
International Journal of Machine Learning and Cybernetics : Volume 3
International Journal of Machine Learning and Cybernetics : Volume 2
International Journal of Machine Learning and Cybernetics : Volume 1

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Three-way conceptual approach for cognitive memory functionalities

Content Provider Springer Nature Link
Author Shivhare, Radhika Cherukuri, Aswani Kumar
Copyright Year 2016
Abstract Human brain represents the information and stores it as memory. They are stored in different parts of the brain and are linked together by associations. When a cue is provided, the memory is recalled through association. Encoding of the real world information is in the form of object-attribute relation. It is possible to perform both positive recall (object having the attribute and attribute shared by object) and negative recalls (object not having the attribute and attribute not shared by object) from memory. It is evident from literature that the formal concept analysis (FCA) based on bidirectional associative memory (BAM) performs only positive recall from memory. In this paper, FCA based on BAM is extended to three-way formal concept analysis (3WFCA) to achieve a more precise recall. In this extended model, both positive recall and negative recall are performed. In order to achieve this objective, an extra operator namely negative operator is added. The proposed model is validated with an experiment on real world scenario. We also presented the connection of the proposal with long term potentiation (LTP) and Hippocampus of the human brain.
Starting Page 21
Ending Page 34
Page Count 14
File Format PDF
ISSN 18688071
Journal International Journal of Machine Learning and Cybernetics
Volume Number 8
Issue Number 1
e-ISSN 1868808X
Language English
Publisher Springer Berlin Heidelberg
Publisher Date 2016-09-17
Publisher Place Berlin, Heidelberg
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Memory Cognition Three-way decision Formal concept analysis Three-way formal concept analysis Computational Intelligence Artificial Intelligence (incl. Robotics) Control, Robotics, Mechatronics Complex Systems Systems Biology Pattern Recognition
Content Type Text
Resource Type Article
Subject Artificial Intelligence Computer Vision and Pattern Recognition Software
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