Searching for authors named "Andreas Stafylopatis" – sorted by Relevance.
12 documents found, showing 1 through 10.
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Real-coded Genetic Optimization of Fuzzy Clustering
- …: A genetic approach is developed, which is suitable for the optimization of fuzzy c-means clustering. The approach is based on real encoding of the prototype variables (cluster centers) and uses appropriate genetic operators and techniques to optimize the clustering criterion. Experimental results …
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Training the Random Neural Network Using Quasi-Newton Methods
- …Training in the Random Neural Network is generally specified as the minimization of an appropriate error function with respect to the parameters of the network (weights corresponding to positive and negative connections). We propose here a technique for error minimization that is based on the use of…
- Cited by 1 (0 self) – Add To MetaCart
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An Investigation of the Analogy between the Random Network and the Hopfield Network
- …In recent publications, a new neural network model, called the random network, has been introduced, in which excitation and inhibition are represented by positive and negative signals. It has been shown that, under markovian assumptions, this model has a product form solution, and several issues ha…
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A Nearest Features Classifier using a Self-Organizing map for memory base evaluation
- …Abstract. Memory base learning is one of main fields in the area of machine learning. We propose a new methodology for addressing the classification task that relies on the main idea of the k- nearest neighbors algorithm, which is the most important representative of this field. In the proposed appr…
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Group Updates and Multiscaling: An Efficient Neural Network Approach to Combinatorial Optimization
- …A multiscale method is described in the context of binary Hopfield--type neural networks. The appropriateness of the proposed technique for solving several classes of optimization problems is established by means of the notion of group update which is introduced here and investigated in relation to …
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Adaptation of Weighted Fuzzy Programs
- …Abstract. Fuzzy logic programs are a useful framework for handling uncertainty in logic programming; nevertheless, there is the need for modelling adaptation of fuzzy logic programs. In this paper, we first overview weighted fuzzy programs, which bring fuzzy logic programs and connectionist models c…
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Interweaving Knowledge Representation and Adaptive Neural Networks
- …Abstract. Both symbolic knowledge representation systems and machine learning techniques, including artificial neural networks, play a significant role in Artificial Intelligence. Interweaving these techniques, in order to achieve adaptation and robustness in classification problems is of great impo…
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Connectionist Models For Formal Knowledge Adaptation
- …Abstract. Both symbolic knowledge representation systems and artificial neural networks play a significant role in Artificial Intelligence. A recent trend in the field aims at interweaving these techniques, in order to improve robustness and performance of classification and clustering systems. In t…
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Probabilistic Video-Based Gesture Recognition Using Self-Organizing Feature Maps
- …Abstract. Present work introduces a probabilistic recognition scheme for hand gestures. Self organizing feature maps are used to model spatiotemporal information extracted through image processing. Two models are built for each gesture category and, along with appropriate distance metrics, produce a…
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Semantic Adaptation of Neural Network Classifiers in Image Segmentation
- …Abstract. Semantic analysis of multimedia content is an on going research area that has gained a lot of attention over the last few years. Additionally, machine learning techniques are widely used for multimedia analysis with great success. This work presents a combined approach to semantic adaptati…
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