Results 11 to 20 of about 3,121,843 (279)

Metamodelling of Noise to Image Classification Performance

IEEE Access, 2023
Machine Learning (ML) has made its way into a wide variety of advanced applications, where high accuracies can be achieved when these ML models are evaluated in the same context as they were trained and validated on.
Jens De Hoog, Ali Anwar, Philippe Reiter, Siegfried Mercelis, Peter Hellinckx   +4 more
doaj   +1 more source

Identification of wood defect using pattern recognition technique

IJAIN (International Journal of Advances in Intelligent Informatics), 2021
This study proposed a classification model for timber defect classification based on an artificial neural network (ANN). Besides that, the research also focuses on determining the appropriate parameters for the neural network model in optimizing the ...
Teo Hong Chun, Ummi Raba'ah Hashim, Sabrina Ahmad, Lizawati Salahuddin, Ngo Hea Choon, Kasturi Kanchymalay, Nur Haslinda Ismail   +6 more
doaj   +1 more source

Decision-Refillable-Based Two-Material-View Fuzzy Classification for Personal Thermal Comfort

Applied Sciences, 2022
The personal thermal comfort model is used to design and control the thermal environment and predict the thermal comfort responses of individuals rather than reflect the average response of the population.
Zhaofei Xu, Weidong Lu, Zhenyu Hu, Ta Zhou, Yi Zhou, Wei Yan, Feifei Jiang   +6 more
doaj   +1 more source

Granular Support Vector Machine Algorithm Based on Affinity Propagation

Jisuanji kexue yu tansuo, 2020
The granular support vector machine (GSVM) can effectively improve the learning efficiency of support vector machine (SVM) but may lose some generalization ability at same time, because it is sensitive to the initial granulation parameter and the ...
CHENG Fengwei, WANG Wenjian
doaj   +1 more source

Classification Performance of a Novel Hydraulic Classifier Equipped with a W-Shaped Reflector

Separations, 2022
In the present research, we propose the use of a novel hydraulic classifier equipped with a W-shaped reflector to enhance classification performance. The effects of the structural dimensions of a W-shaped reflector on the flow field of a classifier and ...
Yuekan Zhang, Yaoxu Duan, Lanyue Jiang, Jingzhen Cao   +3 more
doaj   +1 more source

Using Word Embeddings in Twitter Election Classification [PDF]

, 2016
Word embeddings and convolutional neural networks (CNN) have attracted extensive attention in various classification tasks for Twitter, e.g. sentiment classification.
Macdonald, Craig, Ounis, Iadh, Yang, Xiao   +2 more
core   +2 more sources

Early detection of student degree-level academic performance using educational data mining [PDF]

PeerJ Computer Science, 2023
Higher educational institutes generate massive amounts of student data. This data needs to be explored in depth to better understand various facets of student learning behavior.
Areej Fatemah Meghji, Naeem Ahmed Mahoto, Yousef Asiri, Hani Alshahrani, Adel Sulaiman, Asadullah Shaikh   +5 more
doaj   +2 more sources

Improving BCI performance after classification

Proceedings of the 14th ACM international conference on Multimodal interaction, 2012
Brain-computer interfaces offer a valuable input modality, which unfortunately comes also with a high degree of uncertainty. There are simple methods to improve detection accuracy after the incoming brain activity has already been classified, which can be divided into (1) gathering additional evidence from other sources of information, and (2 ...
Plass - Oude Bos, D., Gürkök, Hayrettin, Reuderink, B., Poel, Mannes   +3 more
openaire   +2 more sources

Demographic Factors Improve Classification Performance [PDF]

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2015
Extra-linguistic factors influence language use, and are accounted for by speakers and listeners. Most natural language processing (NLP) tasks to date, however, treat language as uniform. This assumption can harm performance. We investigate the effect of including demographic information on performance in a variety of text-classification tasks. We find
openaire   +1 more source

Relating reinforcement learning performance to classification performance [PDF]

Proceedings of the 22nd international conference on Machine learning - ICML '05, 2005
We prove a quantitative connection between the expected sum of rewards of a policy and binary classification performance on created subproblems. This connection holds without any unobservable assumptions (no assumption of independence, small mixing time, fully observable states, or even hidden states) and the resulting statement is independent of the ...
John Langford, Bianca Zadrozny
openaire   +1 more source