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Cross-domain large margin distribution machine
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AI
DOI：10.1016/j.eswa.2026.133977.png)
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Abstract
En 中文
<ul class="list">
<li class="react-xocs-list-item"><span class="list-label">•</span><span class="list-content">
<div class="u-margin-s-bottom" id="p0001">
CDLDM extends margin-distribution learning to cross-domain classification.
</div></span></li>
<li class="react-xocs-list-item"><span class="list-label">•</span><span class="list-content">
<div class="u-margin-s-bottom" id="p0002">
The model jointly aligns domains and optimizes margin mean and variance.
</div></span></li>
<li class="react-xocs-list-item"><span class="list-label">•</span><span class="list-content">
<div class="u-margin-s-bottom" id="p0003">
A Nystrom-primal solver improves scalability on real gas-sensor drift tasks.
</div></span></li>
</ul>
Keywords:
Large-margin learning
Margin distribution learning
Cross-domain classification
Domain adaptation
Distribution shift
Journal
IF:
7.5
Papers:
2.9W
Citations:
10.2W
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