14 citations · 38 across the 7 of their papers we have counts for
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math.OC2019★ 1 cited
Knot Locating in Piecewise Linear Approximation
Carlos Ugaz, Lanshan Han, Alvin Lim
Many separable nonlinear optimization problems can be approximated by their nonlinear objective functions with piecewise linear functions. A natural question arising from applying…
cs.LG2019★ 14 cited
Quadratic Surface Support Vector Machine with L1 Norm Regularization
Ahmad Mousavi, Zheming Gao, Lanshan Han +1
We propose norm regularized quadratic surface support vector machine models for binary classification in supervised learning. We establish their desired theoretical proper…
stat.ML2019★ 6 cited
Beyond the EM Algorithm: Constrained Optimization Methods for Latent Class Model
Hao Chen, Lanshan Han, Alvin Lim
Latent class model (LCM), which is a finite mixture of different categorical distributions, is one of the most widely used models in statistics and machine learning fields. Because…