Table 2

Maximization step in HMM learning.

Initial probability estimate

Transition probability estimate

Emission parameters estimate

<a onClick="popup('http://www.biomedcentral.com/1471-2105/9/S9/S13/mathml/M8','MathML',630,470);return false;" target="_blank" href="http://www.biomedcentral.com/1471-2105/9/S9/S13/mathml/M8">View MathML</a> = γ1(i), for 1 ≤ i ≤ N.

<a onClick="popup('http://www.biomedcentral.com/1471-2105/9/S9/S13/mathml/M9','MathML',630,470);return false;" target="_blank" href="http://www.biomedcentral.com/1471-2105/9/S9/S13/mathml/M9">View MathML</a>, for 1 ≤ i, j ≤ N.

Gaussian emission <a onClick="popup('http://www.biomedcentral.com/1471-2105/9/S9/S13/mathml/M10','MathML',630,470);return false;" target="_blank" href="http://www.biomedcentral.com/1471-2105/9/S9/S13/mathml/M10">View MathML</a>, <a onClick="popup('http://www.biomedcentral.com/1471-2105/9/S9/S13/mathml/M11','MathML',630,470);return false;" target="_blank" href="http://www.biomedcentral.com/1471-2105/9/S9/S13/mathml/M11">View MathML</a>, for 1 ≤ j ≤ N.

Churbanov and Winters-Hilt BMC Bioinformatics 2008 9(Suppl 9):S13   doi:10.1186/1471-2105-9-S9-S13

Open Data