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Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids

, , , and . Cambridge University Press, (1998)

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Nonlinear backpropagation: doing backpropagation without derivatives of the activation function., , , and . IEEE Trans. Neural Networks, 8 (6): 1321-1327 (1997)Introduction to the theory of neural computation., , and . The advanced book program Addison-Wesley, (1991)Hidden Neural Networks., and . Neural Comput., 11 (2): 541-563 (1999)Evolving the structure of hidden Markov models., , and . IEEE Trans. Evol. Comput., 10 (1): 39-49 (2006)miRMaid: a unified programming interface for microRNA data resources., , , and . BMC Bioinform., (2010)Modeling promoter grammars with evolving hidden Markov models., , , and . Bioinform., 24 (15): 1669-1675 (2008)A Simple Weight Decay Can Improve Generalization, and . Advances in Neural Information Processing Systems 4, San Francisco, CA: Morgan Kaufmann, (1992)Multi-Layer Networks, , and . Introduction to the Theory of Neural Computation, chapter 6, Addison-Wesley, New York, (1991)A primer on synthetic health data., , , , and . CoRR, (2024)Hidden Markov Models for Human Genes., , , , and . NIPS, page 761-768. Morgan Kaufmann, (1993)