“stochastic” generally implies that uncertainty about outcomes is quantified in terms of probabilities; a nondeterministic environment is one in which actions are characterized by their possible outcomes, but no probabilities are attached to them. Is non-deterministic the same as probabilistic? “A non-deterministic machine is not the same as a probabilisticRead More →
In deterministic models, the output of the model is fully determined by the parameter values and the initial conditions initial conditions. • Stochastic models possess some inherent randomness. The same set of parameter values and initial conditions will lead to an ensemble of different outputs. Is Sir model deterministic orRead More →
For example, the conversion between Celsius and Kelvin is deterministic, because the formula is not random…it is an exact formula that will always give you the correct answer (assuming you perform the calculations correctly): Kelvin = Celsius + 273.15. What is a deterministic approach? A deterministic methodology is a methodRead More →
According to U.S. patent law, you cannot directly patent an algorithm. … That’s because an algorithm is seen as a series of mathematical steps and procedures under U.S. patent law. Note: Most people confuse machine software and software patents. Is Knn deterministic algorithm? K Nearest Neighbor (KNN) is a basicRead More →
According to U.S. patent law, you cannot directly patent an algorithm. … That’s because an algorithm is seen as a series of mathematical steps and procedures under U.S. patent law. Note: Most people confuse machine software and software patents. Is Knn deterministic algorithm? K Nearest Neighbor (KNN) is a basicRead More →