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  2. Probably approximately correct learning - Wikipedia

    en.wikipedia.org/wiki/Probably_approximately...

    In order to give the definition for something that is PAC-learnable, we first have to introduce some terminology. [2] For the following definitions, two examples will be used. The first is the problem of character recognition given an array of bits encoding a binary-valued image. The other example is the problem of finding an interval that will ...

  3. Error tolerance (PAC learning) - Wikipedia

    en.wikipedia.org/wiki/Error_Tolerance_(PAC_learning)

    Statistical Query Learning [8] is a kind of active learning problem in which the learning algorithm can decide if to request information about the likelihood () that a function correctly labels example , and receives an answer accurate within a tolerance .

  4. Sample complexity - Wikipedia

    en.wikipedia.org/wiki/Sample_complexity

    If (,,) is polynomial for some learning algorithm, then one says that the hypothesis space is PAC-learnable. This is a stronger notion than being learnable. This is a stronger notion than being learnable.

  5. p-chart - Wikipedia

    en.wikipedia.org/wiki/P-chart

    The p-chart only accommodates "pass"/"fail"-type inspection as determined by one or more go-no go gauges or tests, effectively applying the specifications to the data before they are plotted on the chart. Other types of control charts display the magnitude of the quality characteristic under study, making troubleshooting possible directly from ...

  6. Seven basic tools of quality - Wikipedia

    en.wikipedia.org/wiki/Seven_Basic_Tools_of_Quality

    The seven basic tools of quality are a fixed set of visual exercises identified as being most helpful in troubleshooting issues related to quality. [1] They are called basic because they are suitable for people with little formal training in statistics and because they can be used to solve the vast majority of quality-related issues.

  7. Partial autocorrelation function - Wikipedia

    en.wikipedia.org/wiki/Partial_autocorrelation...

    Partial autocorrelation function of Lake Huron's depth with confidence interval (in blue, plotted around 0). In time series analysis, the partial autocorrelation function (PACF) gives the partial correlation of a stationary time series with its own lagged values, regressed the values of the time series at all shorter lags.

  8. Problem frames approach - Wikipedia

    en.wikipedia.org/wiki/Problem_Frames_Approach

    Problem analysis or the problem frames approach is an approach — a set of concepts — to be used when gathering requirements and creating specifications for computer software. Its basic philosophy is strikingly different from other software requirements methods in insisting that:

  9. Issue tree - Wikipedia

    en.wikipedia.org/wiki/Issue_tree

    Bulletproof problem solving: the one skill that changes everything. Hoboken, NJ: John Wiley & Sons. ISBN 9781119553021. OCLC 1047803356. Friga, Paul N. (2009). "Develop the issue tree". The McKinsey engagement: a powerful toolkit for more efficient & effective team problem solving. McKinsey trilogy. Vol. 3. New York: McGraw-Hill. pp. 91–96.