Evolutionary trees can be learned in polynomial time in the two-state general Markov model-Reference-Cited by-同舟云学术

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Evolutionary trees can be learned in polynomial time in the two-state general Markov model

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Container-title:Proceedings 39th Annual Symposium on Foundations of Computer Science (Cat. No.98CB36280)
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Author:

Cryan M.,Goldberg L.A.,Goldberg P.W.

Publisher

IEEE Comput. Soc

Link

http://xplorestaging.ieee.org/ielx4/5965/15971/00743494.pdf?arnumber=743494

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. Estimating Optimal Species Trees from Incomplete Gene Trees Under Deep Coalescence;Journal of Computational Biology;2012-06

3. Combining polynomial running time and fast convergence for the disk-covering method;Journal of Computer and System Sciences;2002-11

4. Fast Recovery of Evolutionary Trees with Thousands of Nodes;Journal of Computational Biology;2002-04

5. Linear concepts and hidden variables;Machine Learning;2001

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