Results 21 to 30 of about 3,096,410 (281)

Demographic Factors Improve Classification Performance [PDF]

open access: yesProceedings 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]

open access: yesProceedings 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

Identification of wood defect using pattern recognition technique

open access: yesIJAIN (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   +6 more
doaj   +1 more source

Research on Urea-related Deposit in the Exhaust Pipe of SCR System

open access: yesMATEC Web of Conferences, 2019
At present, numbers of commercial vehicles equipped with SCR system have been observed to generate deposit on exhaust pipe wall after operation for a certain time. Deposits can be hardly dissolved in water and decomposed by heating.
Zhu Neng, Lv Lin, Chen Shi
doaj   +1 more source

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

open access: yesApplied 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   +6 more
doaj   +1 more source

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

open access: yesSeparations, 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   +3 more
doaj   +1 more source

A study of hierarchical and flat classification of proteins [PDF]

open access: yes, 2008
Automatic classification of proteins using machine learning is an important problem that has received significant attention in the literature. One feature of this problem is that expert-defined hierarchies of protein classes exist and can potentially be ...
Buchwald, Fabian   +3 more
core   +2 more sources

Performance Measures in Discrete Supervised Classification

open access: yes, 2021
The evaluation of results in Cluster Analysis frequently appears in the literature, and a variety of evaluation measures have been proposed. On the contrary, in supervised classification, particularly in the discrete case, the subject of results’ evaluation is relatively scarce in this field of the literature.
Ferreira, A. S., Marques, A.
openaire   +2 more sources

Optimised one-class classification performance

open access: yesMachine Learning, 2022
Submitted version of ...
Oliver Urs Lenz   +2 more
openaire   +5 more sources

Cooperative co-evolution of GA-based classifiers based on input increments [PDF]

open access: yes, 2007
Genetic algorithms (GAs) have been widely used as soft computing techniques in various applications, while cooperative co-evolution algorithms were proposed in the literature to improve the performance of basic GAs.
Guan, SU, Zhu, F
core   +2 more sources

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