Kernel methods represent a cornerstone in modern machine learning, enabling algorithms to efficiently derive non-linear patterns by implicitly mapping data into high‐dimensional feature spaces. At the ...

Kernel methods have emerged as a powerful tool in adaptive filtering and system identification, enabling the processing and modelling of complex, nonlinear relationships in dynamic systems. By mapping ...

Sankhyā: The Indian Journal of Statistics, Series A (1961-2002), Vol. 53, No. 1 (Feb., 1991), pp. 51-59 (9 pages) For a subset of the summands of U-statistics with ...

A kernel method for the estimation of quantal dose-response curves is considered. In contrast to parametric modeling, this local smoothing method does not require any assumptions beyond smoothness of ...

Amit Singhal, Google’s senior VP of search, today announced that Google’s Knowledge Graph will start exposing a number of statistics as graphs on the search results pages today. Google is also adding ...