An Introduction to Support Vector Machines
Citations
11,357 citations
Cites background from "An Introduction to Support Vector M..."
...More comprehensive treatments can be found in Vapnik [1995], Cristianini and Shawe-Taylor [2000] and Schölkopf and Smola [2002]....
[...]
10,696 citations
7,939 citations
6,050 citations
Cites background from "An Introduction to Support Vector M..."
...An early survey of the modern usage of kernel methods in pattern analysis can be found in [20], and more accounts in the books by [32] and [120]....
[...]
...A description of generalisation analysis for support vector machines based on these ideas is also contained in Chapter 4 of the book [32]....
[...]
...In the mid 90s, the introduction of kernel-based learning methods [143], [16], [32], [120] has finally enabled researchers to deal with nonlinear relations, while retaining the guarantees and understanding that have been developed for linear algorithms over decades of research....
[...]
...See Chapter 6 of [32] for a more detailed reconstruction of the history of SVMs....
[...]
...Other discussions of pattern recognition via specific algorithms can be found in the following books: [14] and [110] for neural networks; [109] and [19] for decision trees, [32], and [102] for a general introduction to the field of machine learning from the perspective of artificial intelligence....
[...]
4,123 citations