Results 21 to 30 of about 3,073,916 (262)
Journal of Communications Software and Systems, 2022 Counter-Propagation-Artificial-Neural-Networks (C P-ANNs) have been applied in several domains due to their learning and classification abilities. Regardless of their strength, the CP-ANNs still have some limitations in pattern recognition tasks when ...
Sara Belattar +2 more
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Evaluation methods and decision theory for classification of streaming data with temporal dependence [PDF]
, 2014 Predictive modeling on data streams plays an important role in modern data analysis, where data arrives continuously and needs to be mined in real time.
Bifet, Albert +4 more
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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
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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
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Research on Urea-related Deposit in the Exhaust Pipe of SCR System
MATEC 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
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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
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Cooperative co-evolution of GA-based classifiers based on input increments [PDF]
, 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
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Performance Measures in Discrete Supervised Classification
, 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.
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Optimised one-class classification performance
Machine Learning, 2022 Submitted version of ...
Oliver Urs Lenz +2 more
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A study of hierarchical and flat classification of proteins [PDF]
, 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
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