Search results
Results from the WOW.Com Content Network
If n′=n, then for large n the set is expected to have the fraction (1 - 1/e) (≈63.2%) of the unique examples of D, the rest being duplicates. This kind of sample is known as a bootstrap sample. Sampling with replacement ensures each bootstrap is independent from its peers, as it does not depend on previous chosen samples when sampling.
The code generated after compilation does not demand many system features, and can be invoked from some boot code in a straightforward manner – it is simple to execute. The C language statements and expressions typically map well on to sequences of instructions for the target processor, and consequently there is a low run-time demand on ...
Example A occurs twice in set 1 because these are chosen with replacement. Bootstrap aggregation (bagging) involves training an ensemble on bootstrapped data sets. A bootstrapped set is created by selecting from original training data set with replacement. Thus, a bootstrap set may contain a given example zero, one, or multiple times.
The reason for doing this is the correlation of the trees in an ordinary bootstrap sample: if one or a few features are very strong predictors for the response variable (target output), these features will be selected in many of the B trees, causing them to become correlated. An analysis of how bagging and random subspace projection contribute ...
Drupal (/ ˈ d r uː p əl /) is a free and open-source web content management system (CMS) written in PHP and distributed under the GNU General Public License. Drupal provides an open-source back-end framework for at least 14% of the top 10,000 websites worldwide and 1.2% of the top 10 million websites —ranging from personal blogs to corporate, political, and government sites.
At least early on, entrepreneurs often "bootstrap-finance" their start-up rather than seeking external investors from the start. One of the reasons that some entrepreneurs prefer to "bootstrap" is that obtaining equity financing requires the entrepreneur to provide ownership shares to the investors. If the start-up becomes successful later on ...
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier.. For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model.
A code editor web component, available as (among other things) a TinyMCE plugin. TinyMCE 4.x, TinyMCE 5.x, and TinyMCE 6.x. Released under the open source MIT License. N1ED Visual editor for block-by-block content creation. TinyMCE 4.x, TinyMCE 5.x, and TinyMCE 6.x. Base editor is free for one site and up to five users.