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  2. Stock sampling - Wikipedia

    en.wikipedia.org/wiki/Stock_sampling

    A number of methods to adjust for these sampling issues have been proposed. One can appropriately adjust the maximum likelihood estimation for censored flow data for the sample selection, or use nonparametric estimation methods for censored flow data for the sample selection, or use nonparametric estimation methods for censored data. [5]

  3. Ensemble learning - Wikipedia

    en.wikipedia.org/wiki/Ensemble_learning

    On the other hand, the alternative is to do a lot more learning with one non-ensemble model. An ensemble may be more efficient at improving overall accuracy for the same increase in compute, storage, or communication resources by using that increase on two or more methods, than would have been improved by increasing resource use for a single ...

  4. Richard Mattson - Wikipedia

    en.wikipedia.org/wiki/Richard_Mattson

    He developed the stack distance profile, and used it to model page misses in virtual memory systems as a function of the amount of real memory available. The same methods have been applied as well more recently for modeling the behavior of CPU caches at lower levels of the memory hierarchy, [3] [4] and of web caches for internet content. [5]

  5. Sampling (statistics) - Wikipedia

    en.wikipedia.org/wiki/Sampling_(statistics)

    Panel sampling is the method of first selecting a group of participants through a random sampling method and then asking that group for (potentially the same) information several times over a period of time. Therefore, each participant is interviewed at two or more time points; each period of data collection is called a "wave".

  6. Importance sampling - Wikipedia

    en.wikipedia.org/wiki/Importance_sampling

    Importance sampling is a variance reduction technique that can be used in the Monte Carlo method.The idea behind importance sampling is that certain values of the input random variables in a simulation have more impact on the parameter being estimated than others.

  7. Call stack - Wikipedia

    en.wikipedia.org/wiki/Call_stack

    This type of stack is also known as an execution stack, program stack, control stack, run-time stack, or machine stack, and is often shortened to simply the "stack". Although maintenance of the call stack is important for the proper functioning of most software , the details are normally hidden and automatic in high-level programming languages .

  8. Nested sampling algorithm - Wikipedia

    en.wikipedia.org/wiki/Nested_sampling_algorithm

    It is an alternative to methods from the Bayesian literature [3] such as bridge sampling and defensive importance sampling. Here is a simple version of the nested sampling algorithm, followed by a description of how it computes the marginal probability density Z = P ( D ∣ M ) {\displaystyle Z=P(D\mid M)} where M {\displaystyle M} is M 1 ...

  9. Focus stacking - Wikipedia

    en.wikipedia.org/wiki/Focus_stacking

    Stacked image of the Curiosity Rover's first sampling hole in Mount Sharp. The hole is 1.6 cm (0.63 in) wide and 6.7 cm (2.6 in) deep. The hole is 1.6 cm (0.63 in) wide and 6.7 cm (2.6 in) deep. The Mars Science Laboratory mission has a device called Mars Hand Lens Imager (MAHLI), which can take photos that can later be focus stacked.