लोड हो रहा है...
Deep Low-Density Separation for Semi-supervised Classification
Given a small set of labeled data and a large set of unlabeled data, semi-supervised learning (ssl) attempts to leverage the location of the unlabeled datapoints in order to create a better classifier than could be obtained from supervised methods applied to the labeled training set alone. Effective...
में बचाया:
| में प्रकाशित: | Computational Science – ICCS 2020 |
|---|---|
| मुख्य लेखकों: | , |
| स्वरूप: | Artigo |
| भाषा: | Inglês |
| प्रकाशित: |
2020
|
| विषय: | |
| ऑनलाइन पहुंच: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7304056/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-50420-5_22 |
| टैग : |
टैग जोड़ें
कोई टैग नहीं, इस रिकॉर्ड को टैग करने वाले पहले व्यक्ति बनें!
|