Stochastic gradient descent (often abbreviated SGD) is an iterative method for optimizing an objective function with suitable smoothness properties (e... 50 KB (6,588 words) - 22:02, 7 May 2024 |
Stochastic hill climbing is a variant of the basic hill climbing method. While basic hill climbing always chooses the steepest uphill move, "stochastic... 749 bytes (69 words) - 15:25, 27 May 2022 |
A stochastic simulation is a simulation of a system that has variables that can change stochastically (randomly) with individual probabilities. Realizations... 27 KB (3,715 words) - 01:03, 19 March 2024 |
Stochastic computing is a collection of techniques that represent continuous values by streams of random bits. Complex computations can then be computed... 21 KB (2,680 words) - 14:58, 14 April 2024 |
In statistics, stochastic volatility models are those in which the variance of a stochastic process is itself randomly distributed. They are used in the... 16 KB (2,427 words) - 22:33, 7 May 2024 |
Stochastic Neighbor Embedding originally developed by Geoffrey Hinton and Sam Roweis, where Laurens van der Maaten proposed the t-distributed variant... 13 KB (1,829 words) - 13:40, 10 February 2024 |
Autoregressive model (redirect from Stochastic difference equation) own previous values and on a stochastic term (an imperfectly predictable term); thus the model is in the form of a stochastic difference equation (or recurrence... 34 KB (5,393 words) - 19:48, 6 April 2024 |
Gillespie algorithm (category Stochastic simulation) algorithm or stochastic simulation algorithm, the SSA) generates a statistically correct trajectory (possible solution) of a stochastic equation system... 21 KB (3,001 words) - 20:23, 2 May 2024 |
Probabilistic automaton (redirect from Stochastic language) stochastic vector, since the product of any two stochastic matrices is a stochastic matrix, and the product of a stochastic vector and a stochastic matrix... 10 KB (1,726 words) - 17:25, 26 February 2023 |