D. Caragea, A. Silvescu, and V. Honavar, "Analysis and synthesis of agents that learn from distributed dynamic data sources," in Emerging Neural Architectures Based on Neuroscience. S. Wermter, J. Austin, and D. Willshaw, Eds. ser. Lecture Notes in Artificial Intelligence, vol. 2036. Home/Search Document Details and Download
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Emergent Neural Computational Architectures based on.. - Wermter, Austin, Willshaw (2001) (1 citation) (Correct)
....re neuron model is then used, with the input to the neuron model gained through summing the synaptic EPSPs. In the examination of the model the reaction features of the neuron that incorporated a dynamic synapse are close to those of the primary auditory cortex. Caragea et al. 2001) [15] have proposed a set of biologically inspired approaches for knowledge discovery operations. The databases in this domain are normally large, distributed and constantly growing in size. There is a need for computerised approaches to achieve learning from distributed data that do not reprocess ....
....discovery operations. The databases in this domain are normally large, distributed and constantly growing in size. There is a need for computerised approaches to achieve learning from distributed data that do not reprocess already processed data. The techniques devised by Caragea et al. 2001) [15] for distributed or incremental algorithms attempt to determine information needs of the learner and devising e ective approaches to providing this in an distributed or incremental setting. By splitting the learning activity into information extraction and hypothesis production stages this allows ....
D. Caragea, A. Silvescu, and V. Honavar. Analysis and synthesis of agents that learn from distributed dynamic data sources. In S. Wermter, J. Austin, and D. Willshaw, editors, Emergent Neural Computational Architectures based on Neuroscience (this volume). Springer-Verlag, Heidelberg, Germany, 2001.
An Incremental Learning Algorithm with Confidence.. - Polikar, Udpa, Udpa.. (2004) Self-citation (Honavar) (Correct)
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D. Caragea, A. Silvescu, and V. Honavar, "Analysis and synthesis of agents that learn from distributed dynamic data sources," in Emerging Neural Architectures Based on Neuroscience. S. Wermter, J. Austin, and D. Willshaw, Eds. ser. Lecture Notes in Artificial Intelligence, vol. 2036.
Gaining Insights into Support Vector Machine Pattern.. - Caragea, Cook, Honavar (2001) Self-citation (Caragea Honavar) (Correct)
.... exploring the use of SVM as a preprocessor, both in terms of reducing the number of variables to enter into the tour, and to reduce the number of instances to the set of support vectors (whichismuch smaller than the data set) In related work, we are exploring distributed learning algorithms [5] [6] for visualization of large distributed data Sicily palmitic palmitoleic stearic oleic linoleic linolenic eicosenoic North Apulia South Apulia Calabria palmitic palmitoleic stearic oleic linoleic linolenic eicosenoic Figure 4: Olive oil data: Left) Support vectors for the areas ....
D. Caragea, A. Silvescu, and V. Honavar. Analysis and synthesis of agents that learn from distributed dynamic data sources. In S. E. A. Wermter, Ed., ###### ####### ############# ########## ############. Springer-Verlag, 2001.
Ontology-Driven Information Extraction and.. - Silvescu.. (2001) Self-citation (Silvescu Honavar) (Correct)
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Caragea, D., Silvescu, A., and Honavar, V. (2001a). Analysis and Synthesis of Agents that Learn from Distributed Dynamic Data Sources. Invited chapter. In: Wermter, S., Willshaw, D., and Austin, J. (Ed.). Emerging Neural Architectures Based on Neuroscience. Springer-Verlag. In press.
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