• MCL Research on Transfer Learning

MCL Research on Transfer Learning

  • February 25th, 2024

Transfer learning is an approach to extract features from source domain and transfer the knowledge of source domain to [...]

  • MCL Research on LQBoost Regressor

MCL Research on LQBoost Regressor

  • February 11th, 2024

LQBoost operates on the principle of leveraging successive linear regressions to mimic the target regression. Each least-square regression serves [...]

  • MCL Research on SLMBoost Classifier

MCL Research on SLMBoost Classifier

  • February 4th, 2024

In a Machine Learning framework, there are three fundamental components that play a crucial role: feature extraction, feature selection, [...]