نتایج جستجو برای: bayesian classifier

تعداد نتایج: 122173  

2012
Edwin Simpson Steven Reece Sarvapali Ramchurn Stephen J. Roberts

Citizen science and human computation involves working with multiple, untrusted decision makers. We demonstrate how Bayesian Classifier Combination outperforms a naive Bayes method when classifying documents using unreliable crowdsourced labels. We also present methods for screening workers and selecting informative documents to label. Finally, we explain how the Bayesian Classifier Combination...

2012
Edwin Simpson Steven Reece Stephen J. Roberts Sarvapali Ramchurn

Citizen science and human computation involves working with multiple, untrusted decision makers, whose performance depends on training, rewards, ability and interest. We first present methods for screening workers and selecting informative objects to label. We then demonstrate Bayesian Classifier Combination as an effective method for classifying documents using unreliable crowdsourced labels. ...

2011
Dewan Md. Farid Mohammad Zahidur Rahman Chowdhury Mofizur Rahman

In this paper, we introduce a new approach to the classification of streaming data based on bootstrap aggregation (bagging). The proposed approach creates an ensemble model by using ID3 classifier, naïve Bayesian classifier, and k-Nearest-Neighbor classifier for a learning scheme where each classifier gives the weighted prediction. ID3, naïve Bayesian, and k-NearestNeighbor classifiers are very...

2002
Wei Chu Chong Jin Ong

In this paper, we apply popular Bayesian techniques on support vector classifier. We propose a novel differentiable loss function called trigonometric loss function with the desirable characteristics of natural normalization in the likelihood function, and describe a Bayesian framework in stationary Gaussian stochastic processes. In this framework, Bayesian inference is used to implement model ...

2006
Zhengxing Sun Lisha Zhang Bin Zhang

This paper presents a novel approach for online multi-strokes composite sketchy shape recognition based on Bayesian Networks. By means of the definition of a double-level Bayesian networks, a classifier is designed to model the intrinsic temporal orders among the strokes effectively, where a sketchy shape is modeled with the relationships not only between a stroke and its neighbouring strokes, ...

Journal: :CoRR 2011
Hemanth K. S. Doreswamy

In this paper, naive Bayesian and C4.5 Decision Tree Classifiers(DTC) are successively applied in materials informatics to classify the engineering materials into different classes for the selection of materials that suit the input design specifications. Here, the classifiers are analyzed individually and their performance evaluation is analyzed with confusion matrix predictive parameters and s...

2006
Jiajun Yan David B. Bracewell Fuji Ren Shingo Kuroiwa

In this paper, we attempt to automatically annotate the Penn Chinese Treebank with semantic dependency structure. Initially a small portion of the Penn Chinese Treebank was manually annotated with headword and semantic dependency relations. An initial investigation is then done using a Naive Bayesian Classifier and some handcrafted rules. The results show that the algorithms and proposed approa...

2000
Yanlei Diao Hongjun Lu Dekai Wu

This paper addresses personal E-mail filtering by casting it in the framework of text classification. Modeled as semi-structured documents, Email messages consist of a set of fields with predefined semantics and a number of variable length free-text fields. While most work on classification either concentrates on structured data or free text, the work in this paper deals with both of them. To p...

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