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Multidimensional Particle Swarm Optimization for ML and Pattern Recognition

Serkan Kiranyaz, Turker Ince, Moncef Gabbouj ★ 3.1/5 · ItemOracle Score Mid-Range

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Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition (Adaptation, Learning, and Optimization, 15)

Academic work on multidimensional particle swarm optimization for machine learning and pattern recognition. Highlights adaptation and learning aspects; user insight notes mixed sentiment

Highlights

  • multidimensional swarm method
  • applied to ML and pattern recognition
  • collaborative authorship

Pros

  • focus on optimization for ML
  • addresses pattern recognition
  • multidimensional approach
  • academic author collaboration

Cons

  • customer insights: none available
  • rating based on few reviews
  • no features listed

Best For

  • research reference for optimization in ML
  • algorithm design for pattern recognition
  • academic study on adaptation in swarm methods
  • inspiration for ML hyperparameter tuning
  • teaching material for optimization topics

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