Artificial intelligence · 1995

Support vector machine

Maximum-margin classifiers with the kernel trick dominate machine learning for a decade.

Corinna Cortes and Vladimir Vapnik's soft-margin SVM found the widest separating boundary and, through kernels, handled nonlinear data. SVMs beat neural networks on many benchmarks through the 2000s and brought rigorous learning theory into practice.

See it in the living treeWikipedia