33 The Bootstrap Learning Algorithm 20:49 A logarithmic improvement in the Bombieri-Vinogradov theorem 1:00:48 A Reintroduction to Proofs 1:00:18 Ratner_Masur equidistribution by orbit matching 52:22 Optimal transport in statistics and Pitman efficient multivariate distribution-f 44:27 Localized ...
Kirley M (2002) A cellular genetic algorithm with disturbances: optimisation using dynamic spatial interactions. J Heuristics 8(3):321–342. https://doi.org/10.1023/A:1015009818589 Article Google Scholar Kirsch F, Rühmkorf R (2017) Sovereign borrowing, financial assistance, and debt repudiation....
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Algorithm Any well-defined computational procedure that takes some values, or set of values, as input, and produces some value, or set of values, as output. Bioinformatics Bioinformatics is the application of statistics and computer science to the field of molecular biology. Biotechnology The exploi...
An Example of Q-learning Algorithm: The Frozen Lake Problem The Frozen Lake problem simulates an icy, grid-like environment where an agent (the penguin) aims to navigate from a designated starting position to a goal while traversing a frozen surface. The grid layout typically consists of a gr...
Particle swarm optimization (PSO) is a well-known iterative algorithm commonly adopted in wavefront shaping for focusing light through or inside scattering... C Woo,H Li,Q Zhao,... - 《Optics Express》 被引量: 0发表: 2021年 Implementation of particle swarm optimization algorithm for estimating...
Hahn, E.M., Schewe, S., Turrini, A., Zhang, L.: A simple algorithm for solving qualitative probabilistic parity games. In: CAV. LNCS, vol. 9780... EM Hahn,S Schewe,A Turrini,... 被引量: 10发表: 2016年 Probabilistic Model Checking Multi-agent Behaviors in Dispersion Games Using Cou...
Littman (Markov games as a framework for multi-agent reinforcement learning, in: Proceedings of the 11th International Conference on Machine Learning (ICML-94), 1994.) uses this framework to model two-agent zero-sum problems and, within this context, proposes the minimax-Q algorithm. This paper...
The agent was presented with sensory samples of an upright face and her variational posterior over the external state was obtained by descending variational free energy over a 12 ms time bin until the next saccade (i.e., action) was emitted. This perception-action cycle was repeated eight ...
The default key formats are usually RSA or ECDSA, with RSA being the older and more established algorithm. Within those formats are the option to create keys of varying sizes. In general, a larger key is more difficult to compromise, with the tradeoff being that encrypting and decrypting messa...