Results 251 to 260 of about 75,083 (296)

A Classifier Capable of Handling New Attributes

2007 IEEE Symposium on Computational Intelligence and Data Mining, 2007
During knowledge acquisition, a new attribute can be added at any time. In such a case, rule generated by the training data with the former attribute set can not be used. Moreover, the rule can not be combined with the new data set with the newly added attribute(s) using the existing algorithms.
Dong-Hun Seo, Chi-Hwa Song, Won Don Lee
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An Adaptive Ensemble Classifier for Handling Recurring Concepts

2019 International Multidisciplinary Information Technology and Engineering Conference (IMITEC), 2019
The assumption with many learning algorithms is that the underlying distribution of the data is static. However, for many real world applications, data is streaming and collected over an extended period of time. Learning in such dynamic and nonstationary environments presents a challenge not common in static domains as the statistical properties of the
Tinofirei Museba, Fulufhelo Nelwamodo, Khmaies Ouhada   +2 more
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Handling imbalance in hierarchical classification problems using local classifiers approaches

Data Mining and Knowledge Discovery, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rodolfo M. Pereira, Yandre M. G. Costa, Carlos N. Silla   +2 more
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Monitoring and classifying evidence-based workload for profiling manual handling occupations

2011 IEEE International Conference on Industrial Engineering and Engineering Management, 2011
The majority of employments with occupational musculoskeletal hazards can be classified as manual handling jobs in manufacturing and the public health sector. The purpose of this study was to monitor and classify evidence-based workload of a manual handling target group of nurses using a modified Delphi with three independent consecutive surveys.
Clarys, J. P., Tresignie, J., Scafoglieri, A., Cattrysse, E.   +3 more
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Handling missing features in maximum margin Bayesian network classifiers

2012 IEEE International Workshop on Machine Learning for Signal Processing, 2012
The Comprehensive Nuclear-Test-Ban Treaty Organization (CTBTO) records hydroacoustic data to detect nuclear explosions1. This enables verification of the Comprehensive Nuclear-Test-Ban Treaty once it has entered into force. The detection can be considered as a classification problem discriminating noise-like, earthquake-caused and explosion-like data ...
Sebastian Tschiatschek, Nikolaus Mutsam, Franz Pernkopf   +2 more
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A method for Handling Inconsistencies in Rule-based Classifiers

IEEE Latin America Transactions, 2008
Researches on distributed data mining have as the main interest the development of algorithms and approaches that make possible the analysis of large and physically distributed datasets proposing better solutions in terms of costs and computational complexity.
Luiz Gustavo Moro Senko, Edson Emilio Scalabrin, Braulio Coelho Avila, Fabricio Enembreck   +3 more
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Non-monotonic inference system handling knowledge allowing classified exceptions

SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218), 2002
We propose a nonmonotonic formalism for knowledge handling allowing exceptions, the Exc-Representation (ER), and its goal-directed proof procedure, the SLD-EXC resolution, for the nonmonotonic inference system, NISE. ER always provides a unique extension, which is a set of conclusions, and makes tractable the membership problem in nonmonotonic ...
K. Ohara, N. Babaguchi, T. Kitahashi
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METHODS OF HANDLING AND CLASSIFYING TRADE CATALOGUES

Aslib Proceedings, 1953
On appointment as librarian, the author took over 1,500 trade catalogues in addition to the usual library stock. The catalogues had been stored on shelves, loosely inserted in Manila folders, a system which proved hopelessly inefficient. It was necessary to continue to use the shelving but, because of the varying size of the catalogues, box files would
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Improving existing cascaded face classifier by adding occlusion handling

2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication, 2012
Recent face detectors used in human robot interaction are boosted cascades. These cascades can detect upright faces but are very sensible to occlusions. We propose a generic framework to handle occlusions at prediction time in a boosted cascade. The contribution is a probabilistic formulation of the cascade structure that considers the uncertainty ...
Pierre Bouges, Thierry Chateau, Christophe Blanc, Gaelle Loosli   +3 more
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Introducing Weighted Kernel Classifiers for Handling Imbalanced Paralinguistic Corpora: Snoring, Addressee and Cold

Interspeech 2017, 2017
The field of paralinguistics is growing rapidly with a wide range of applications that go beyond recognition of emotions, laughter and personality. The research flourishes in multiple directions such as signal representation and classification, addressing the issues of the domain.
Kaya, Heysem, Karpov, Alexey A.
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