Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...
- An approach for broadband modem FIR filter design optimization is presented. It addresses the minimization of the number of addersubtractors used in the hardware implementation o...
Robert Pasko, Patrick Schaumont, Veerle Derudder, ...
Abstract. Censored quantile regressions (CQR) are a valuable tool in economics and engineering. The computation of estimators is highly complex and the performance of standard meth...
For functional programs, unboxing aggregate data structures such as tuples removes memory indirections and frees dead components of the decoupled structures. To explore the consequ...
The paper focuses on the study of solving the large-scale traveling salesman problem (TSP) based on neurodynamic programming. From this perspective, two methods, temporal differenc...
Jia Ma, Tao Yang, Zeng-Guang Hou, Min Tan, Derong ...