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Using Dirichlet Mixture Priors to Derive Hidden Markov Models for Protein Families.

, , , , , and . ISMB, page 47-55. AAAI, (1993)

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Hidden Markov Models for Human Genes., , , , and . NIPS, page 761-768. Morgan Kaufmann, (1993)Introduction to the theory of neural computation., , and . The advanced book program Addison-Wesley, (1991)Multi-Layer Networks, , and . Introduction to the Theory of Neural Computation, chapter 6, Addison-Wesley, New York, (1991)A Simple Weight Decay Can Improve Generalization, and . Advances in Neural Information Processing Systems 4, San Francisco, CA: Morgan Kaufmann, (1992)Prediction of Structurally-Determined Coiled-Coil Domains with Hidden Markov Models., , , and . BIRD, volume 4414 of Lecture Notes in Computer Science, page 292-302. Springer, (2007)Simple Perceptrons, , and . Introduction to the Theory of Neural Computation, chapter 5, Addison-Wesley, New York, (1991)Maximum Entropy Weighting of Aligned Sequences of Proteins or DNA., and . ISMB, page 215-221. AAAI, (1995)CAncer bioMarker Prediction Pipeline (CAMPP) - A standardized framework for the analysis of quantitative biological data., , and . PLoS Comput. Biol., (2020)Discovery of Regulatory Elements is Improved by a Discriminatory Approach., , , and . PLoS Comput. Biol., (2009)A Manifold Learning Perspective on Representation Learning: Learning Decoder and Representations without an Encoder., and . Entropy, 23 (11): 1403 (2021)