2 citations · 2 across the 1 of their papers we have counts for
4 papers
Price Optimization with Practical Constraints
Xiaojie Wang, Hsin-Chan Huang, Lanshan Han +1
In this paper, we study a retailer price optimization problem which includes the practical constraints: maximum number of price changes and minimum amount of price change (if a cha…
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…
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…
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…