Improved Expectation Maximization Algorithm for Gaussian Mixed Model Using the Kernel Method

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="757240.fig.004a" src="https://static.hindawi.com/articles/mpe/volume-2013/757240/figures/757240.fig.004a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Log-likelihood</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="757240.fig.004b" src="https://static.hindawi.com/articles/mpe/volume-2013/757240/figures/757240.fig.004b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>AIC</td></tr></table></td></tr></table>

<table>Plots of log-likelihood and AIC values.</table>

Mathematical Problems in Engineering

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Figure 4

Figure 4: Improved Expectation Maximization Algorithm for Gaussian Mixed Model Using the Kernel Method 