Introduction: In unsupervised learning, data clustering is essential. However, many current algorithms have issues like early convergence, inadequate local search capabilities, and trouble processing ...
We consider discounted Markov decision processes (MDPs) with countably-infinite state spaces, finite action spaces, and unbounded rewards. Typical examples of such MDPs are inventory management and ...
Your Artstor image groups were copied to Workspace. The Artstor website will be retired on Aug 1st. Science Progress (1933-) Vol. 103, No. 4, 2020 A new method for ...
Abstract: The shuffled frog leaping algorithm is easily sunk into local optimum and not enough accurate when optimizing the problem of some higher dimensional functions. In view of these shortcomings, ...
Abstract: In the large-scale industrial processes, there are more slow perturbations. So the mathematical model of an actual system is difficult to be accurate. When optimizing large-scale industrial ...
Pricing Partners, the independent valuation expert and a world leader in mathematical models and analytics for derivatives and structured products, announced today that Simplex, a new optimization ...
New hifiasm-ONT assembly method delivers high-quality, cost-efficient near T2T assemblies using standard Oxford Nanopore Simplex reads, broadening access to comprehensive genome assemblies across ...
While sitting in a courtroom, waiting to find out if he would be chosen for jury duty, Daniel Spielman had a revelation-all the work he and colleague Shanghua Teng had built up over the past three ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results
Feedback