Michael Bloodgood.Active Learning with Support Vector Machines for Imbalanced Datasets and a Method for Stopping Active Learning Based on Stabilizing Predictions.. 2009Michael Bloodgood. 2009. Active learning with sup- port vector machines for imbalanced datasets and a method for stopping active learning...
[2] S. Ertekin, J. Huang, and C. L. Giles. Adaptive Resampling with Active Learning. 2009. [3] M. Bloodgood and K. Vijay-Shanker. Taking into account the differences between actively and passively acquired data: The case of active learning with support vector machines for imbalanced datase...
Taking into account the differences between actively and passively acquired data: The case of active learning with support vector machines for imbalanced datasets. in Proc. Hum. Lang. Technol., 2009, pp. 137–140. [4] K. Tomanek and U. Hahn. Reducing class imbalance during active learning f...
Less is more: Active learning with support vector machinesGreg SchohnDavid CohnWe describe a simple active learning heuristic which greatly enhances the ... DC Greg Schohn 被引量: 39发表: 2013年 Active Learning for Support Vector Machines with Maximum Model Change Margin-based strategies and mode...
L. Giles. Adaptive Resampling with Active Learning. 2009. [3] M. Bloodgood and K. Vijay-Shanker. Taking into account the differences between actively and passively acquired data: The case of active learning with support vector machines for imbalanced datasets. in Proc. Hum. Lang. Technol., ...
Therefore, there are multiple outstanding questions in the utility of active and self-supervised learning approaches for cell type annotation, including (i) what performance boost do active learning approaches deliver when combined with a range of popular single-cell annotation algorithms such as Single...
Support vector machines have met with significant success in numerous real-world learning tasks. However, like most machine learning algorithms, they are generally applied using a randomly selected training set classified in advance. In many settings, we also have the option of using . Instead of ...
significantlyreducetheneedforlabeledtraininginstancesinboththestandardinductive andtransductivesettings. Keywords:ActiveLearning,SelectiveSampling,SupportVectorMachines,Classifica- tion,RelevanceFeedback 1.Introduction Inmanysupervisedlearningtasks,labelinginstancestocreateatrainingsetistime- consumingandcostly;thus,...
Mathieson, S. Putta, C. Lemmen Active Learning with Support Vector Machines in the Drug Discovery Process J. Chem. Inf. Comput. Sci., 43 (2) (2003), pp. 667-673 https://dx.doi.org/10.1021/ci025620t 10.1021/ci025620t 12653536 View in ScopusGoogle Scholar...
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