Data-driven method for training data selection for deep learning

Mapping Intimacies ◽

10.3997/2214-4609.202112817 ◽

2021 ◽

Author(s):

C. Lacombe ◽

I. Hammoud ◽

J. Messud ◽

H. Peng ◽

T. Lesieur ◽

...

Keyword(s):

Deep Learning ◽

Training Data ◽

Data Selection ◽

Data Driven ◽

Selection For ◽

Training Data Selection

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Training Data Selection for Optimal Generalization with Noise Variance Reduction in Neural Networks

Perspectives in Neural Computing - Neural Nets WIRN VIETRI-98 ◽

10.1007/978-1-4471-0811-5_14 ◽

1999 ◽

pp. 153-166 ◽

Author(s):

Sethu Vijayakumar ◽

Masashi Sugiyama ◽

Hidemitsu Ogawa

Keyword(s):

Neural Networks ◽

Variance Reduction ◽

Training Data ◽

Data Selection ◽

Noise Variance ◽

Selection For ◽

Training Data Selection

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Training data selection for improving discriminative training of acoustic models

2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU) ◽

10.1109/asru.2007.4430125 ◽

2007 ◽

Author(s):

Shih-Hung Liu ◽

Fang-Hui Chu ◽

Shih-Hsiang Lin ◽

Hung-Shin Lee ◽

Berlin Chen

Keyword(s):

Discriminative Training ◽

Training Data ◽

Data Selection ◽

Acoustic Models ◽

Selection For ◽

Training Data Selection

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Training data selection for acoustic modeling via submodular optimization of joint kullback-leibler divergence

10.21437/interspeech.2015-723 ◽

2015 ◽

Author(s):

Taichi Asami ◽

Ryo Masumura ◽

Hirokazu Masataki ◽

Manabu Okamoto ◽

Sumitaka Sakauchi

Keyword(s):

Training Data ◽

Acoustic Modeling ◽

Data Selection ◽

Submodular Optimization ◽

Leibler Divergence ◽

Selection For ◽

Training Data Selection

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An Improved Method for Training Data Selection for Cross-Project Defect Prediction

Arabian Journal for Science and Engineering ◽

10.1007/s13369-021-06088-3 ◽

2021 ◽

Author(s):

Nayeem Ahmad Bhat ◽

Sheikh Umar Farooq

Keyword(s):

Training Data ◽

Data Selection ◽

Defect Prediction ◽

Improved Method ◽

Selection For ◽

Training Data Selection ◽

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Training data selection for cross-project defect prediction

Proceedings of the 9th International Conference on Predictive Models in Software Engineering - PROMISE '13 ◽

10.1145/2499393.2499395 ◽

2013 ◽

Author(s):

Steffen Herbold

Keyword(s):

Training Data ◽

Data Selection ◽

Defect Prediction ◽

Selection For ◽

Training Data Selection ◽

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Automatic training data selection for sensorimotor primitives

Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180) ◽

10.1109/iros.2001.976278 ◽

2002 ◽

Author(s):

A. Larson ◽

R. Voyles

Keyword(s):

Training Data ◽

Data Selection ◽

Selection For ◽

Training Data Selection

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Adaptive, Correlation-Based Training Data Selection for IoT Device Management

2019 Sixth International Conference on Internet of Things: Systems, Management and Security (IOTSMS) ◽

10.1109/iotsms48152.2019.8939220 ◽

2019 ◽

Author(s):

Anders Eivind Braten ◽

Frank Alexander Kraemer ◽

David Palma

Keyword(s):

Training Data ◽

Data Selection ◽

Device Management ◽

Selection For ◽

Training Data Selection

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Training data selection for voice conversion using speaker selection and vector field smoothing

Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96 ◽

10.1109/icslp.1996.607875 ◽

2002 ◽

Author(s):

M. Hashimoto ◽

N. Higuchi

Keyword(s):

Vector Field ◽

Training Data ◽

Data Selection ◽

Voice Conversion ◽

Selection For ◽

Training Data Selection ◽

Speaker Selection

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RANSAC-based training data selection for emotion recognition from spontaneous speech

Proceedings of the 3rd international workshop on Affective interaction in natural environments - AFFINE '10 ◽

10.1145/1877826.1877831 ◽

2010 ◽

Author(s):

Cigdem Eroglu Erdem ◽

Elif Bozkurt ◽

Engin Erzin ◽

A. Tanju Erdem

Keyword(s):

Emotion Recognition ◽

Spontaneous Speech ◽

Training Data ◽

Data Selection ◽

Selection For ◽

Training Data Selection

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Training data selection for imbalanced cross-project defect prediction

Computers & Electrical Engineering ◽

10.1016/j.compeleceng.2021.107370 ◽

2021 ◽

Vol 94 ◽

pp. 107370

Author(s):

Shang Zheng ◽

Jinjing Gai ◽

Hualong Yu ◽

Haitao Zou ◽

Shang Gao

Keyword(s):

Training Data ◽

Data Selection ◽

Defect Prediction ◽

Selection For ◽

Training Data Selection ◽

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