Binary classification

Known as: Binary classifier, Binary categorization, Binary test

Binary or binomial classification is the task of classifying the elements of a given set into two groups on the basis of a classification rule…

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.

2015

In multi-label learning, an example is represented by a descriptive feature associated with several labels. Simply…

2014

Our team submitted runs for both the Microblog and Clinical Decision Support tracks. For the Microblog track, we participated in…

2013

We present a system for automatically identifying the native language of a writer. We experiment with a large set of features and…

2013

This work presents the method to classify the gene expression cancer data -Microarray data. The proposed method combines two…

2012

: Academic Data Mining used many techniques such as Decision Trees, Neural Networks, Naïve Bayes, K-Nearest neighbor, and many…

2009

This chapter contains sections titled: Introduction, Model for Sample Selection Bias, Necessary and Sufficient Conditions for the…

2005

Support Vector Machines constitute a powerful Machine Learning technique originally designed for the solution of 2-class problems…

2004

Multi-document discourse analysis has emerged with the potential of improving various NLP applications. Based on the newly…

1992

Our goal is to capture the simple cognitive structures people use to build and manipulate their models of the world, and allow…

1964

This paper describes an identification technique which is a practical approach to on-line impulse response identification for…