Multi-Label Feature Selection with Conditional Mutual Information

<table class="table-group" id="tab7"><tr><td><table class="table"><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr class="thead"><td class="align_left">Datasets</td><td class="align_center">Corel5k</td><td class="align_center">Delicious</td><td class="align_center">Medical</td><td class="align_center">Scene</td><td class="align_center">Flags</td></tr><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr><td class="align_left">Label redundancy</td><td class="align_center">0.112776503</td><td class="align_center">0.216737498</td><td class="align_center">0.279667978</td><td class="align_center">1.19332472</td><td class="align_center">1.553913238</td></tr><tr class="table-tr"><td colspan="6"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The results of label redundancy.</div>

Computational Intelligence and Neuroscience

tab7

Table 7

Table 7: Multi-Label Feature Selection with Conditional Mutual Information 