Geoscience Reference
In-Depth Information
BIBLIOGRAPHICAL NOTES
There are many excellent topics written on statistical machine learning. For example, readers in-
terested in the methodologies can consult the introductory textbook [
131
], and the comprehensive
textbooks [
19
,
81
]. For grounding of machine learning in classic statistics, see [
184
]. For compu-
tational learning theory, see [
97
,
176
] for the Vapnik-Chervonenkis (VC) dimension and Probably
Approximately Correct (PAC) learning framework, and Chapter 4 in [
153
] for an introduction to
the Rademacher complexity. For a perspective from information theory, see [
119
]. For a perspective
that views machine learning as an important part of artificial intelligence, see [
147
].
