Wait Time–Based Pricing for Queues with Customer-Chosen Service Times
This paper studies a pricing problem for a single-server queue where customers arrive according to a Poisson process. For each arriving customer, the service provider announces a price rate and sys…
L1-Norm Quantile Regression Screening Rule via the Dual Circumscribed Sphere
L1-norm quantile regression is a common choice if there exists outlier or heavy-tailed error in high-dimensional data sets. However, it is computationally expensive to solve this problem when the f…
A Survey on the Hypervolume Indicator in Evolutionary Multiobjective Optimiza…
Hypervolume is widely used as a performance indicator in the field of evolutionary multiobjective optimization (EMO). It is used not only for performance evaluation of EMO algorithms (EMOAs) but al…
Developing Interval-Based Cost-Sensitive Classifiers by Genetic Programming f…
Cost-sensitive learning is a popular approach to addressing the problem of class imbalance for many classification algorithms in machine learning. However, most cost-sensitive algorithms are depend…
Accelerated Variance Reduction Stochastic ADMM for Large-Scale Machine Learning
Recently, many stochastic variance reduced alternating direction methods of multipliers (ADMMs) (e.g., SAG-ADMM and SVRG-ADMM) have made exciting progress such as linear convergence rate for strong…
On-Chip Detector Based on Supercontinuum Generation in Chalcogenide Waveguide
We present the design, preparation, and performance optimization of strip waveguide in chalcogenide glass (ChG) for broadband supercontinuum (SC) generation. Ternary Ge-Sb-S systems possess large b…
Experimental Demonstration of Single Sideband Modulation Utilizing Monolithic…
Single sideband (SSB) modulation based on a monolithic integrated optically injection-locked (MOIL) DFB laser is demonstrated experimentally. To our knowledge, this is the first time to realize SSB…
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