35 citations · 36 across the 3 of their papers we have counts for
3 papers
cs.LG2015
Extreme Entropy Machines: Robust information theoretic classification
Wojciech Marian Czarnecki, Jacek Tabor
Most of the existing classification methods are aimed at minimization of empirical risk (through some simple point-based error measured with loss function) with added regularizatio…
cs.LG2014★ 1 cited
Cluster based RBF Kernel for Support Vector Machines
Wojciech Marian Czarnecki, Jacek Tabor
In the classical Gaussian SVM classification we use the feature space projection transforming points to normal distributions with fixed covariance matrices (identity in the standar…
cs.LG2014★ 35 cited
Multithreshold Entropy Linear Classifier
Wojciech Marian Czarnecki, Jacek Tabor
Linear classifiers separate the data with a hyperplane. In this paper we focus on the novel method of construction of multithreshold linear classifier, which separates the data wit…