c(person("Alexandros", "Karatzoglou", role = c("aut", "cre"),
email = "alexandros.karatzoglou@gmail.com"),
person("Alex", "Smola", role = "aut"),
person("Kurt", "Hornik", role = "aut"),
person("National ICT Australia (NICTA)",
role = "cph"),
person(c("Michael", "A."), "Maniscalco",
role = c("ctb", "cph")),
person(c("Choon", "Hui"), "Teo", role = "ctb"))
Alexandros Karatzoglou [aut, cre],
Alex Smola [aut],
Kurt Hornik [aut],
National ICT Australia (NICTA) [cph],
Michael A. Maniscalco [ctb, cph],
Choon Hui Teo [ctb]

Kernel-based machine learning methods for classification, regression,
clustering, novelty detection, quantile regression and dimensionality reduction.
Among other methods kernlab includes Support Vector Machines,
Spectral Clustering, Kernel PCA and a QP solver.

A Kernel Regression-Based Multidimensional Wind Turbine Power
Curve
c(
person("Yu", "Ding", email = "yuding@tamu.edu", role = c("aut")),
person("Hoon", "Hwangbo", email = "hhwangbo17@gmail.com", role = c("aut","cre")))
Copyright (c) 2017 Y. Ding, H. Hwangbo, and Texas A&M
University
Provides wind energy practitioners with an effective machine learning-based
tool that estimates a multivariate power curve and predicts the wind power output
for a specific environmental condition.

c(
person("Yu", "Ding", email = "yuding@tamu.edu", role = c("aut")),
person("Hoon", "Hwangbo", email = "hhwangb1@utk.edu", role = c("aut","cre")))

Kernel Machine Score Test for Semi-Competing Risks
c(person("Boris P.", "Hejblum", role = c("aut", "cre"),
email = "bhejblum@hsph.harvard.edu"),
person("Matey", "Neykov", role = c("aut", "cre"),
email = "mneykov@gmail.com"))
person("Jennifer A.", "Sinnot", role = c("aut", "cre"),
email = "jsinnott@stat.osu.edu"))
Kernel Machine Score Test for Pathway Analysis in the Presence of Semi-Competing Risks.

c(person("Boris P.", "Hejblum", role = c("aut", "cre"),
email = "bhejblum@hsph.harvard.edu"),
person("Matey", "Neykov", role = c("aut"),
email = "mneykov@gmail.com"),
person("Jennifer A.", "Sinnot", role = c("aut"),
email = "jsinnott@stat.osu.edu")
)
Boris P. Hejblum [aut, cre],
Matey Neykov [aut],
Jennifer A. Sinnot [aut]