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Identifying Important Tweets by Considering the Potentiality of Neurons.

, , , and . IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 99-A (8): 1555-1559 (2016)

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Controlled Competitive Learning: Extending Competitive Learning to Supervised Learning.. IJCNN, page 1767-1773. IEEE, (2007)Forced Information Maximization to Accelerate Information-Theoretic Competitive Learning., and . IJCNN, page 1779-1784. IEEE, (2007)Similarity interaction in information-theoretic self-organizing maps.. Int. J. General Systems, 42 (3): 239-267 (2013)Feature detectors by autoencoders: Decomposition of input patterns into atomic features by neural networks., and . Neural Processing Letters, 2 (6): 17-22 (1995)Contradiction Resolution for Foreign Exchange Rates Estimation.. IJCCI, page 529-535. SciTePress, (2012)Constrained information maximization by free energy minimization.. Int. J. General Systems, 40 (7): 701-725 (2011)Forced information and information loss in information-theoretic competitive learning.. Artificial Intelligence and Applications, page 78-84. IASTED/ACTA Press, (2007)Pseudo-potentiality maximization for improved interpretation and generalization in neural networks.. IWCIA, page 21-28. IEEE, (2015)Simplified Information Acquisition Method to Improve Prediction Performance: Direct Use of Hidden Neuron Outputs and Separation of Information Acquisition and Use Phase.. ANNIIP, page 78-87. SciTePress, (2014)Accumulative Information Enhancement In The Self-Organizing Maps And Its Application To The Analysis Of Mission Statements., and . J. Artif. Intell. Soft Comput. Res., 5 (3): 161 (2015)