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One-class nu-Support Vector machine (SVMs) learning technique maps the input data into a much higher dimensional space and then uses a small portion of the training data (support vectors) to...
Search relevance: 314.28 | Views last month: 0 | Catalog Last Checked: September 02, 2026 at 01:10 AM -
In this paper we propose $\nu$-Anomica, a novel anomaly detection technique that can be trained on huge data sets with much reduced running time compared to the benchmark one-class Support Vector...
Search relevance: 108.31 | Views last month: 0 | Catalog Last Checked: August 04, 2025 at 11:22 AM
