Instance selection
Instance Selection for Machine Translation using Feature Decay Algorithms
... We have shown that high coverage is an integral part of training sets for achieving high BLEU per- formance. SMT systems also heavily rely on the word alignment of the parallel corpus to derive a phrase table that can be ...
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Combining instance selection and self-training to improve data stream quantification
... events. Instance selection based on clustering algorithms selects the events near to cluster centers and near to the cluster borders, to compose a diverse set of events that will have their labels ...
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Hit Miss Networks with Applications to Instance Selection
... performing instance selection for the 1-NN ...new instance selection ...that instance selec- tion by means of this algorithm does not change the 1-NN classification of instances in the ...
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A Wikipedia LDA Model for Entity Linking with Batch Size Changing Instance Selection
... training instance annotation without compro- mising the accuracy, an instance selection strategy is proposed to select an informative, representative and diverse subset from an au- to-generated ...
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Soil Data Classification Using Attribute Group Rank With Filter Based Instance Selection Model
... The analysis has been made for the proposed attribute group rank with a filter based instance selection model (AGRFIS) for effective classification of soil dataset of the Pollachi region. The proposed ...
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Posterior regularized REINFORCE for Instance Selection in Distant Supervision
... of instance selec- tion in distant ...stance selection in one bag as a sequential de- cision process, a reinforcement learning agent is trained to determine whether an instance is valuable or not and ...
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An Ensemble of Classifiers using Weighted Instance Selection
... needs Instance Selection (IS) which try to pick a subset of instances that are relevant to the target ...The instance selection is use for reducing unwanted, redundant instances from training ...
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Simplified cloud instance selection
... and instance type are most suitable for a particular appli- ...for instance selection utilize the cloud providers Service Level Agreements ...cloud instance performance can be de- rived from ...
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Cloud Instance Selection Using Parallel K Means and AHP
... and selection is challenging. This is because instance provision can be difficult to comprehend for an average technical user and tactics of cloud provider are far from being transparent biasing the ...
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Title: A Technique of Combine Feature Selection and Instance Selection for Effective Bug Triage
... The procedure of fixing bug is a bug triage that expects to appropriately assign a developer to a new bug. But manual bug triage procedure is exceptionally tedious and excessive. So to escape time cost automatic bug ...
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Unsupervised Instance Selection from Text Streams
... Abstract. Instance selection techniques have received great attention in the literature, since they are very useful to identify a subset of instances (textual documents) that adequately represents the ...
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Priorities Of Developers Based On Instance Selection and Feature Selection Technique
... Abstract - To deal with Large number of software Bugs every day in software companies. The process of Bug fixing used the important step is Bug triage. Assign a Bug report to the correct potential developer is the main ...
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ParFDA for Instance Selection for Statistical Machine Translation
... ParFDA (Bic¸ici et al., 2015) is a parallel imple- mentation of feature decay algorithms (FDA), a class of instance selection algorithms that use fea- ture decay, developed for fast deployment of accu- rate ...
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Novel Bug Triage repositories on instance selection
... feature selection and instance selection algorithm intend to shrink the bug data set and develop the performance of bug triage with high-quality bug data in software maintenance and ...
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Instance Selection Improves Cross Lingual Model Training for Fine Grained Sentiment Analysis
... For instance, sentence length, the output probabil- ity, number of unknown words of a target language as well as parsing-based features have been used (Avramidis et ...for instance provided by Ueffing et ...
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Bug Triage: An Automated Process
... Stemming is useful to reduce words into its root form (e.g. words like ‘engineering’, ‘engineered’ share a common base- ‘engineer’). After text classification, data reduction is used to address quality of data. In this ...
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Big data preprocessing: methods and prospects
... For instance, FS has attracted much attention lately for unsupervised problems [45–47] or missing values imputation ...[46], instance selection [50] or missing values imputation ...Multi- ...
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The Diagnosis of Epilepsy by Gravitational Search Algorithm and Support Vector Machines
... feature selection, instance selection and parameters optimization of support vector machines, and finally constructed models are used to classify normal subjects and epilepsy ...Feature ...
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A Comparison of Ensemble and Case Base Maintenance Techniques for Handling Concept Drift in Spam Filtering
... approaches; instance se- lection, instance weighting and ensemble ...stance selection the goal is to select instances that are rele- vant to the current ...on instance selection and ...
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RegMT System for Machine Translation, System Combination, and Evaluation
... ing instance selection methods perform fea- ture decay for proper selection of training in- stances, which plays an important role to learn correct feature ...
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