R/SwarmSVM.R

#' SwarmSVM: A Package for several Ensemble Support Vector Machine Models
#'
#' The SwarmSVM package contains three differenct Ensemble SVM models, 
#' they all train SVM models on subset of data and combine the results together. 
#' The three models are from the following three papers:
#' 
#' 1. Gu, Q., & Han, J. (2013). Clustered support vector machines. In proceedings of the sixteenth international conference on artificial intelligence and statistics (pp. 307-315).
#' 2. Hsieh, C. J., Si, S., & Dhillon, I. S. (2013). A divide-and-conquer solver for kernel support vector machines. arXiv preprint arXiv:1311.0914.
#' 3. Collobert, R., Bengio, S., & Bengio, Y. (2002). A parallel mixture of SVMs for very large scale problems. Neural computation, 14(5), 1105-1114.
#'
#' @section SwarmSVM functions:
#' clusterSVM
#' dcSVM
#' gaterSVM
#'
#' @docType package
#' @name SwarmSVM
NULL
hetong007/SwarmSVM documentation built on Jan. 10, 2023, 12:52 a.m.