Small Training Set Learning Algorithm: Difference between revisions
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== References == | |||
=== 1999 === | === 1999 === |
Latest revision as of 00:07, 23 January 2024
A Small Training Set Learning Algorithm is a Learning Algorithm that is design to be effective with few Training Records.
References
1999
- (Joachims, 1999) ⇒ Thorsten Joachims. (1999). “Transductive Inference for Text Classification Using Support Vector Machines.” In: Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999).
- . The experiments show substantial improvements over inductive methods, especially for small training sets, cutting the number of labeled training examples down to a twentieth on some tasks.