Finding Age Path of Self-Paced Learning

2021 IEEE International Conference on Data Mining (ICDM)(2021)

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摘要
Self-paced learning (SPL) is an emerging research topic in recent machine learning research which is often formulated as a bi-convex problem. The choice of the age parameter in SPL can control the learning pace and is crucial to achieve optimal performance. Traditionally, the age parameter is programmed to increase in a fixed rate while solving the SPL problem using the alternative optimization st...
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Training,Conferences,Machine learning,Benchmark testing,Classification algorithms,Data mining,Task analysis
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