# sample space

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## sample space

[′sam·pəl ‚spās]
(statistics)
A concept in probability theory which considers all possible outcomes of an experiment, game, and so on, as points in a space.
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Processing the data sample space grid, first to determine the obstacles cover and border crossing grid barriers to the grid.
The sample space or universe (U) is defined and delimited as that made up of all of the possible ways in which element [E.
SVM is peacekeeping linear rise of, through nonlinear mapping; the sample space is mapped to a higher dimensional space within, the samples in high dimensional space correctly classified, so that you can through linear learning machine method to solve the problem of nonlinear classification in the sample space.
These include notions of sample space, possible outcomes, combinations, the probability of an event occurring and the assigning of a numerical probability measure when comparing different outcomes (Neil, 2010; Barnes, 1998).
Through a specific nonlinear mapping, the sample space is mapped to a high dimension as feature space of infinite dimensional (Hilbert space).
1 The set of all possible outcomes of an experiment is called the sample space of that experiment and is denoted by S.
Patrangenaru and Ellingson introduce a new way of analyzing object data that primarily takes into account the geometry of the spaces of objects measured on the sample space.
Pepinsky's claims are true--only if the sample space is in the real Euclidean space, which in this case, it is not.
Same procedure has been done until entire sample space has been exhausted.
The first step in determining the true odds that Mlodinow has HIV is to define the sample space.
This would require an extensive study with a much larger sample space.
3) As it is presented in James' Abstracts, however, the log5 method can only estimate the probabilities for a sample space which contains two events--in the above examples, team X either wins or loses and a hit either occurs or does not.

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