cost-sensitive
Online Active Learning for Cost Sensitive Domain Adaptation
... two cost- sensitive online active learning methods, a multi-view uncertainty-based method and a multi-view disagreement-based method, to query the most informative instances from the two domains, aiming to ...
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Enhanced Cost Sensitive Boosting Network for Software Defect Prediction
... three cost-sensitive feature selection algorithms by emphasize samples with higher misclassification costs, and de- emphasizing those with lower misclassification costs in the feature selection ...
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Elliptical cost sensitive decision tree algorithm ECSDT
... Cost-Sensitive Decision Trees with Multiple Cost Scales (CSDTWMCS): (Qin et ...a cost-sensitive algorithm, known as Cost-Sensitive Decision Trees with Multiple ...
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Cost sensitive Bayesian network learning using sampling
... of cost-sensitive decision tree learners, recognising that real world classification problems need to take account of costs of misclassification and not just focus on ...50 cost-sensitive ...
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Distributed AdaBoost Extensions for Cost sensitive Classification Problems
... collected. Cost-sensitive classification is a subset of the broader classification problem where the focus is on solving the class imbalance ...using Cost-sensitive Distributed Boosting ...
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Indexing for Vertical Search Engine: Cost Sensitive
... COST SENSITIVE: Index Integrator Techniques plays important role in Cost-sensitive ...maintains cost and easy to realize, and segmentation gives effective and high precision ...
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A survey of cost sensitive decision tree induction algorithms
... However, several authors have recognized that in practice there are costs involved (e.g. Breimen et al. [1984]; Turney [1995]; Elkan [2001]). For example, it costs time and money for blood tests to be carried out ...
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A Decision Tree Model Based on Preference Cost Sensitive
... preference cost sensitive decision tree ...preference cost to decision ...preference sensitive decision tree with best preference degree is generated by adaptively adjusting the preference ...
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An Efficient Algorithm to Analyse the Cost Sensitive Measures on Datasets
... as cost sensitive online gradient descent algorithm, constraint based gravitational search algorithm has been proposed in order to evaluate the accuracy of the classifier ...tackle cost ...
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Naive Bayes Classifier for Cost Sensitive Dynamic Learning
... We first evaluate the weighted sum operation. The first three columns of Table 2 summarize the results, and Fig. 2 shows the alteration of online average sum operation. Some results can be drawn below. First of all, by ...
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TRANSDUCTIVE BASED COST-SENSITIVE MULTI-LABEL CLASSIFICATION
... mining, Cost-sensitive learning considers misclassification ...of Cost-Sensitive Learning is to reduce total ...the cost-sensitive multi-label classification ...misclassification ...
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A Cost-Sensitive Model for Revitalizing United Methodist Churches
... movements of the 60s, 70s, and 80s, programs that offer “keys” or “steps” to turning your church around are everywhere. Unfortunately, many of these resources fail to address a critical part of the equation: change. By ...
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A Comparison of Models for Cost Sensitive Active Learning
... founded cost model into our ap- proaches to cost-sensitive AL and to investigate whether our positive findings can be reproduced with estimated costs as ...
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Cost sensitive meta learning
... the cost of misclassification would not perform well owing to the fact it is biased in classifying most of the instances under the category of a frequent class, resulting in a useless ...a ...
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Cost-sensitive Naïve Bayes Classification of Uncertain Data
... unlike cost-sensitive algorithms’ goal is to minimize the total ...on cost-sensitive ...the cost of tests and ...total cost of tests and misclassifications as the attribute split ...
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Cost-Sensitive Learning to Rank
... General ranking models cannot be easily adapted to op- timize an arbitrary cost-sensitive objective: for example, methods such as ListNet (Cao et al. 2007) are hard-coded to only support the N DCG@k’s ...
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A Survey on CSOAL: Cost-Sensitive Online Active Learning with Its Application to Malicious URL Detection
... of Cost Sensitive Online Active Learning (CSOAL) which can tackle malicious detection in a fairly natural, effective, and scalable ...a cost-sensitive online learning ...different cost- ...
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Cost-Sensitive Learning with Noisy Labels
... We addressed learning in the presence of asymmetric random label noise with respect to gen- eral cost-sensitive utilities. We have obtained general theoretical results as well as efficient algorithms for ...
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Cost Sensitive Class Imbalance Learning using ANFIS
... In cost sensitive neural networks the cost is included in learning rate, error computation and weight adjustments. The key ideas of this approach are 1)Decrease learning rate for costly examples 2) ...
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Proposing a Novel Cost Sensitive Imbalanced Classification Method based on Hybrid of New Fuzzy Cost Assigning Approaches, Fuzzy Clustering and Evolutionary Algorithms
... a cost-sensitive fuzzy rule-based classification ...novel cost metric is proposed based on the combination of three different concepts: Entropy, Gini index and DKM ...effective cost of ...
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