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cs.LG2018
Dropout with Tabu Strategy for Regularizing Deep Neural Networks
Zongjie Ma, Abdul Sattar, Jun Zhou +2
Dropout has proven to be an effective technique for regularization and preventing the co-adaptation of neurons in deep neural networks (DNN). It randomly drops units with a probabi…
cs.LG2018
Machine Learning Interpretability: A Science rather than a tool
Abdul Karim, Avinash Mishra, MA Hakim Newton +1
The term "interpretability" is oftenly used by machine learning researchers each with their own intuitive understanding of it. There is no universal well agreed upon definition of…
cs.AI2018
Diversified Late Acceptance Search
Majid Namazi, Conrad Sanderson, M. A. Hakim Newton +2
The well-known Late Acceptance Hill Climbing (LAHC) search aims to overcome the main downside of traditional Hill Climbing (HC) search, which is often quickly trapped in a local op…