A novel adaptive weight online sequential extreme learning machine (AWOS-ELM) is proposed for predicting time series problems based on an online sequential extreme learning machine (OS-ELM) in this paper.In real-world online applications, the sequentially coming data chunk guerlain ideal cologne usually possesses varying confidence coefficients, an
Hybrid teaching (face-to-face and distance learning) enables students to better prepare and complete their courses.In science, technology, engineering and mathematics, it is important that practical training be an integral part of the curriculum.Laborem project read more developed at the technological university institute in Bayonne, France, enable
Escape by Anolis lizards is influenced by microhabitats and fight initiation distance increases with predation risk.Differences in microhabitat use among ecomorphs affect escape behavior, but only two Latest Product Releases & Innovations – Stay Updated! studies have reported ecomorphological differences in flight initiation distance among Greate
Cost-sensitive learning is a popular paradigm to address class-imbalance learning (CIL) problem.Traditional cost-sensitive learning approaches always solve CIL problem by assigning a constant higher training error penalty for all minority instances than that of majority instances, but ignore the significance of location information.Therefore, sever
Abstract Objective APPEASE is a phase I study to assess the safety, dosing, and efficacy of rivoceranib (a selective, small-molecule inhibitor of VEGFR2) in combination with pembrolizumab.We aimed to treat patients with metastatic malignancies who have progressed through at least first-line therapy, with pembrolizumab 200 mg every 3 weeks, as well