ridge function
{{Distinguish|ridge regression}}
In mathematics, a ridge function is any function that can be written as the composition of an univariate function , that is called a profile function, with an affine transformation, given by a direction vector with shift .
Then, the ridge function reads
for .
Coinage of the term 'ridge function' is often attributed to B.F. Logan and L.A. Shepp.{{cite journal |last1=Logan |first1=B.F. |last2=Shepp |first2=L.A. |title=Optimal reconstruction of a function from its projections |journal=Duke Mathematical Journal |date=1975 |volume=42 |issue=4 |pages=645–659 |doi=10.1215/S0012-7094-75-04256-8}}
Relevance
A ridge function is not susceptible to the curse of dimensionality{{clarification needed|reason=In what sense?|date=May 2022}}, making it an instrumental tool in various estimation problems. This is a direct result of the fact that ridge functions are constant in directions:
Let be independent vectors that are orthogonal to , such that these vectors span dimensions.
Then
:
for all
In other words, any shift of in a direction perpendicular to does not change the value of .
Ridge functions play an essential role in amongst others projection pursuit, generalized linear models, and as activation functions in neural networks. For a survey on ridge functions, see.{{cite journal |last1=Konyagin |first1=S.V. |last2=Kuleshov |first2=A.A. |last3=Maiorov |first3=V.E. |title=Some Problems in the Theory of Ridge Functions |journal=Proc. Steklov Inst. Math. |date=2018 |volume=301 |pages=144–169 |doi=10.1134/S0081543818040120|s2cid=126211876 }} For books on ridge functions, see.{{Cite book|last1=Pinkus|first1=Allan|date=August 2015|title= Ridge functions|url= https://www.cambridge.org/core/books/ridge-functions/25F7FDD1F852BE0F5D29171078BA5647|location= Cambridge |publisher= Cambridge Tracts in Mathematics 205. Cambridge University Press. 215 pp. |isbn= 9781316408124 }}{{Cite book|last1=Ismailov|first1=Vugar|date=December 2021|title= Ridge functions and applications in neural networks|url= https://www.ams.org/books/surv/263/ |location= Providence, RI |publisher= Mathematical Surveys and Monographs 263. American Mathematical Society. 186 pp. |isbn=978-1-4704-6765-4}}
References
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