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Efficacy of utilizing a hybrid algorithmic method in enhancing the functionality of multi-instance multi-label radial basis function neural networks

  • Published:2015-09 Issue: Volume:34 Page:788-798
  • ISSN:1568-4946
  • Container-title:Applied Soft Computing
  • language:en
  • Short-container-title:Applied Soft Computing

Author:

Abdechiri Marjan,Faez Karim

Publisher

Elsevier BV

Subject

Software

Reference38 articles.

1. Training discriminative computer vision models with weak supervision;Babenko,2012

2. Online multiple instance boosting for object detection;Qi;Neurocomputing,2011

3. Multi-label multi-instance learning with missing object tags;Shen;Multimed. Syst.,2013

4. Multi-Label learning by exploiting label dependency;Zhang,2010

5. An empirical comparison of supervised learning algorithms;Caruana,2006

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2. Text Categorization by Multi-instance Multi-label and Momentum Stochastic Gradient Descent Strategy;2020 3rd International Conference on Algorithms, Computing and Artificial Intelligence;2020-12-24

3. Multi-instance Multi-label Text Categorization Algorithm Based on Multi-quadric Function Radial Basis Network Model;2020 3rd International Conference on Artificial Intelligence and Big Data (ICAIBD);2020-05

4. Intelligent computing for Mathieu’s systems for parameter excitation, vertically driven pendulum and dusty plasma models;Applied Soft Computing;2018-01

5. Chaotic target representation for robust object tracking;Signal Processing: Image Communication;2017-05
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