Results 281 to 290 of about 21,772 (300)

Detecting, Classifying, and Handling Contradictions in a Large, Dynamic Information Environment

2006
Abstract : A new approach to perturbation tolerance was identified -- the Meta-Cognitive Loop (MCL) -- for responding to contradictions and other anomalies in complex settings. Further investigations with MCL included identifying architectural requirements, and applying MCL to various domains including reinforcement learning, common-sense reasoning ...
Scott Fults, Waiyian Chong, Darsana Josyula, Michael Anderson, Donald Perlis   +4 more
openaire   +1 more source

Assessing the Effectiveness of Machine Learning Classifiers in Handling Imbalanced Datasets

International Journal on Science and Technology
This paper compared the performance of supervised machine learning classifiers on an imbalanced dataset using their predictive performance, computation efficiency, and robustness to defects in data. The datasets used in experiments were of different sizes, different ratio between the classes and their quality.
Japheth Wiredu, Stephen Akobre -, Fuseini Jibreel -, Abdul-Rahaman Abubakari -   +3 more
openaire   +1 more source

Probabilistic Diagnostic Model for Handling Classifier Degradation in Machine Learning

2019
Several studies point out different causes of performance degradation in supervised machine learning. Problems such as class imbalance, overlapping, small-disjuncts, noisy labels, and sparseness limit accuracy in classification algorithms. Even though a number of approaches either in the form of a methodology or an algorithm try to minimize performance
openaire   +1 more source

Classifying Complaint Reports Using RNN and Handling Imbalanced Dataset

2022 9th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE), 2022
Oktefvia Aruda Lisjana, Masayu Leylia Khodra   +1 more
openaire   +1 more source

Handling Data Imbalance Using Text Augmentation For Classifying Public Complaints

2023 International Conference on Computer, Control, Informatics and its Applications (IC3INA), 2023
Muhammad Rizqi Indrahimawan, Paulus Insap Santosa, Teguh Bharata Adji   +2 more
openaire   +1 more source

Review of Combat Ammunition System (CAS) Classified Data Handling.

1996
Abstract : This research study examined the Combat Ammunition System, Base-level (CAS-B). Specifically it addresses issues of the multi-level secure (MLS) designation of the system and the data within the system that requires it to be classified. The issue of classification is traced from development of the system, when it was intended to store data ...
openaire   +1 more source

Churn Prediction in Customer Relationship Management via GMDH-Based Multiple Classifiers Ensemble

IEEE Intelligent Systems, 2016
Jin Xiao, Xiaoyi Jiang, Changzheng He
exaly  

Handling numeric attributes when comparing Bayesian network classifiers: does the discretization method matter?

Applied Intelligence, 2011
M Julia Flores, JOSÉ A Gámez, Ana M Martinez   +2 more
exaly  

A New Combination of Diversity Techniques in Ensemble Classifiers for Handling Complex Concept Drift

Studies in Big Data, 2019
Imen Khamassi, Moamar Sayed-Mouchaweh, Khaled Ghedira   +2 more
exaly  

An Ensemble of Classifiers Algorithm Based on GA for Handling Concept-Drifting Data Streams

2014
Heng Chen
exaly