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ε-Sparse Representations: Generalized Sparse Approximation and the Equivalent Family of SVM Tasks.

, and . Acta Cybern., 17 (3): 605-614 (2006)

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Estimating Cartesian Compression via Deep Learning., , , and . AGI, volume 9782 of Lecture Notes in Computer Science, page 294-304. Springer, (2016)Kalman-filtering using local interactions, and . CoRR, (2003)Corpus-Based Neural Network Method for Explaining Unknown Words by WordNet Senses., , and . PKDD, volume 3721 of Lecture Notes in Computer Science, page 470-477. Springer, (2005)Module-Based Reinforcement Learning: Experiments with a Real Robot., , and . Auton. Robots, 5 (3-4): 273-295 (1998)Recognition of Novelty Made Easy: Constraints of Channel Capacity on Generative Networks., , , and . NCPW, page 73-82. Springer, (2000)ε-Sparse Representations: Generalized Sparse Approximation and the Equivalent Family of SVM Tasks., and . Acta Cybern., 17 (3): 605-614 (2006)Identification of Recurrent Neural Networks by Bayesian Interrogation Techniques., and . J. Mach. Learn. Res., (2009)Generative network explains category formation in Alzheimer patients., , , , , and . IJCNN, page 64-68. IEEE, (1999)Value Prediction in Engineering Applications., , , , and . IEA/AIE, volume 2070 of Lecture Notes in Computer Science, page 25-34. Springer, (2001)Hippocampal Formation Trains Independent Components via Forcing Input Reconstruction.. ICANN, volume 1327 of Lecture Notes in Computer Science, page 163-168. Springer, (1997)