Hamburg's Congress Center (CCH) opens its doors today to the global high-performance computing community as ISC High Performance 2026 begins its five-day run through June 26. Now in its 41st year, ISC ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Abstract: Decomposition has been the mainstream approach in the classic mathematical programming for multi-objective optimization and multi-criterion decision-making. However, it was not properly ...

[Notice] This list is not being maintained anymore because of the overwhelming amount of deep learning papers published every day since 2017. A curated list of the most cited deep learning papers ...

Lipeng Zhu (Member, IEEE) received the B.S. degree from the Department of Mathematics and System Sciences, Beihang University, Beijing, China, in 2017, and the Ph.D. degree from the Department of ...

Numerical optimization is an important tool in the field of computational physics in general and in nano-optics in specific. It has attracted attention with the increase in complexity of structures ...

Abstract For complex optimization problems in the financial services industry, specialized quantum computer can server as a transformative tool. Focusing on loan portfolio pricing optimization, we ...

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