In this paper, we present a novel classification algorithm named ESC (Error-Sensitive Classification) to cover this problem. We materialize our main idea by ...

In this paper, we present a novel classification algorithm named ESC (Error-Sensitive Classification) to cover this problem. We materialize our main idea by ...

Abstract. It is a significant challenge to discover knowledge from noise data. Most of previous works have focused on the data cleansing and the correction.

May 23, 2022 · Bibliographic details on A Novel Classification Algorithm to Noise Data.

When the training data contains noise, the classification accuracy was being affected dramatically. In this paper, we present a novel classification algorithm ...

PCA is a well-known dimensionality reduction multivariate statistics technique whose goal is to reduce the number of features of a dataset by losing the least ...

This paper proposes a novel attribute noise correction method, called ANCES. ANCES performs an iterative correction of attribute values using error scores.

Aug 30, 2024 · It is used for classification and regression. In both cases, the input consists of the k closest training examples in the data set.

Our approach uses a set of learning algorithms to create classifiers that serve as noise filters for the training data. We evaluate single algorithm ...

Mar 26, 2024 · Our novel approach is structured around two main phases: the initial phase focuses on prototypes creation and noise elimination, while the ...