Results 31 to 40 of about 21,772 (300)

A performance comparison of supervised machine learning models for Covid-19 tweets sentiment analysis.

open access: yesPLoS ONE, 2021
The spread of Covid-19 has resulted in worldwide health concerns. Social media is increasingly used to share news and opinions about it. A realistic assessment of the situation is necessary to utilize resources optimally and appropriately.
Furqan Rustam   +5 more
doaj   +1 more source

A hierarchical multi-label classification ant colony algorithm for protein function prediction [PDF]

open access: yes, 2010
This paper proposes a novel ant colony optimisation (ACO) algorithm tailored for the hierarchical multi-label classification problem of protein function prediction.
Otero, Fernando E.B.   +5 more
core   +1 more source

Inducing decision trees with an ant colony optimization algorithm [PDF]

open access: yes, 2012
Decision trees have been widely used in data mining and machine learning as a comprehensible knowledge representation. While ant colony optimization (ACO) algorithms have been successfully applied to extract classification rules, decision tree induction ...
Otero, Fernando E.B.   +2 more
core   +1 more source

Exploring COVID-19 public perceptions in South Africa through sentiment analysis and topic modelling of Twitter posts

open access: yesThe African Journal of Information and Communication, 2023
The narratives shared on social media during a health crisis such as COVID-19 reflect public perceptions of the crisis. This article provides findings from a study of the perceptions of South African citizens regarding the government’s response to the ...
Temitope Kekere   +2 more
doaj   +1 more source

Multi-class Nearest Neighbour Classifier for Incomplete Data Handling [PDF]

open access: yes, 2015
The basic nearest neighbour algorithm has been designed to work with complete data vectors. Moreover, it is assumed that each reference sample as well as classified sample belong to one and the only one class. In the paper this restriction has been dismissed.
Bartosz A. Nowak   +3 more
openaire   +1 more source

A Classifier Capable of Handling Incomplete Data Set

open access: yesThe Journal of the Korean Institute of Information and Communication Engineering, 2010
This paper introduces a classification algorithm which can be applied to a learning problem with incomplete data sets, missing variable values or a class value. This algorithm uses a data expansion method which utilizes weighted values and probability techniques. It operates by extending a classifier which are considered to be in the optimal projection
Jong-Chan Lee, Won-Don Lee
openaire   +2 more sources

A Novel Double Ensemble Algorithm for the Classification of Multi-Class Imbalanced Hyperspectral Data

open access: yesRemote Sensing, 2022
The class imbalance problem has been reported to exist in remote sensing and hinders the classification performance of many machine learning algorithms.
Daying Quan   +5 more
doaj   +1 more source

A new sequential covering strategy for inducing classification rules with ant colony algorithms [PDF]

open access: yes, 2012
Ant colony optimization (ACO) algorithms have been successfully applied to discover a list of classification rules. In general, these algorithms follow a sequential covering strategy, where a single rule is discovered at each iteration of the algorithm ...
Otero, Fernando E. B.   +3 more
core   +1 more source

Robust Inference via Generative Classifiers for Handling Noisy Labels

open access: yesCoRR, 2019
Accepted in ICML ...
Kimin Lee   +5 more
openaire   +3 more sources

Random Partition Based Adaptive Distributed Kernelized SVM for Big Data

open access: yesIEEE Access, 2022
In this paper, we present a distributed classification technique for big data by efficiently using distributed storage architecture and data processing units of a cluster.
Amrit Pal   +5 more
doaj   +1 more source

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