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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 ...
A pick chart allows visual comparison of action items relative to their impact to the problem being addressed vs. the ease/cost of implementation. In VERY rudimentary terms, PICK charts are a Return On Investment (ROI) method. When faced with multiple improvement ideas a PICK chart may be used to determine the most useful.
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 .
Control charts are graphical plots used in production control to determine whether quality and manufacturing processes are being controlled under stable conditions. (ISO 7870-1) [1] The hourly status is arranged on the graph, and the occurrence of abnormalities is judged based on the presence of data that differs from the conventional trend or deviates from the control limit line.
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.
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.
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:
This is a list of some of the more commonly known problems that are NP-complete when expressed as decision problems. As there are thousands of such problems known, this list is in no way comprehensive. Many problems of this type can be found in Garey & Johnson (1979).