Decay-weighted extreme learning machine for balance and optimization learning
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DOI: 10.1007/s00138-017-0828-4
Abstract: The original extreme learning machine (ELM) was designed for the balanced data, and it balanced misclassification cost of every sample to get the solution. Weighted extreme learning machine assumed that the balance can be achieved… read more here.
Keywords: machine; extreme learning; learning machine; weighted extreme ... See more keywords
Bias in Balance Optimization Subset Selection: Exploration through examples
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DOI: 10.1080/01605682.2017.1421848
Abstract: Abstract When estimating a treatment effect from observational data, researchers encounter bias regardless of estimation methods. In this paper, we focus on a particular method of estimation called Balance Optimization Subset Selection (BOSS). This paper… read more here.
Keywords: optimization subset; balance; subset selection; balance optimization ... See more keywords