Training HMM structure with genetic algorithm for biological sequence analysis
暂无分享,去创建一个
[1] Anders Krogh,et al. RpoD promoters in Campylobacter jejuni exhibit a strong periodic signal instead of a -35 box. , 2003, Journal of molecular biology.
[2] Andreas Stolcke,et al. Bayesian learning of probabilistic language models , 1994 .
[3] A. Konagaya,et al. Motif Extraction using an Improved Iterative Duplication Method for HMM Topology Learning , 1995 .
[4] D. E. Goldberg,et al. Genetic Algorithms in Search, Optimization & Machine Learning , 1989 .
[5] Xin Yao,et al. Evolving artificial neural networks , 1999, Proc. IEEE.
[6] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[7] 矢田 哲士. Stochastic models representing DNA sequence data : construction algorithms and their applications to prediction of gene structure and function , 1998 .
[8] Thomas G. Dietterich. What is machine learning? , 2020, Archives of Disease in Childhood.
[9] X. Yao. Evolving Artificial Neural Networks , 1999 .
[10] Satoru Hayamizu,et al. Prediction of protein secondary structure by the hidden Markov model , 1993, Comput. Appl. Biosci..
[11] R. Durbin,et al. Biological sequence analysis: Background on probability , 1998 .
[12] J Baker,et al. REDUCING BIAS AND NEFFICIENCY IN THE SELECTION ALGORITHM, GENETIC ALGORITHMS AND APPLICATIONS , 2000 .
[13] D. E. Goldberg,et al. Genetic Algorithms in Search , 1989 .
[14] Masato Ishikawa,et al. DNA Sequence Analysis using Hidden Markov Model and Genetic Algorithm , 1994 .
[15] Lawrence R. Rabiner,et al. A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.