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  2. Lexicographic breadth-first search - Wikipedia

    en.wikipedia.org/wiki/Lexicographic_breadth...

    At each step, a vertex v from the first set in the sequence is removed from that set, and if that removal causes the set to become empty then the set is removed from the sequence. Then, each set in the sequence is replaced by two subsets: the neighbors of v and the non-neighbors of v. The subset of neighbors is placed earlier in the sequence ...

  3. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    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. [9] [10]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. [11]

  4. List of tools for static code analysis - Wikipedia

    en.wikipedia.org/wiki/List_of_tools_for_static...

    Besides some static code analysis, it can be used to show violations of a configured coding standard. Duplicate code detection was removed [13] from Checkstyle. Eclipse: 2017-06-28 Yes; EPL: No Cross-platform IDE with own set of several hundred code inspections available for analyzing code on-the-fly in the editor and bulk analysis of the whole ...

  5. Data cleansing - Wikipedia

    en.wikipedia.org/wiki/Data_cleansing

    Data cleansing may also involve harmonization (or normalization) of data, which is the process of bringing together data of "varying file formats, naming conventions, and columns", [2] and transforming it into one cohesive data set; a simple example is the expansion of abbreviations ("st, rd, etc." to "street, road, etcetera").

  6. Out-of-bag error - Wikipedia

    en.wikipedia.org/wiki/Out-of-bag_error

    One set, the bootstrap sample, is the data chosen to be "in-the-bag" by sampling with replacement. The out-of-bag set is all data not chosen in the sampling process. When this process is repeated, such as when building a random forest, many bootstrap samples and OOB sets are created. The OOB sets can be aggregated into one dataset, but each ...

  7. Code cleanup - Wikipedia

    en.wikipedia.org/wiki/Code_cleanup

    Code cleanup can also refer to the removal of all computer programming from source code, or the act of removing temporary files after a program has finished executing. For instance, in a web browser such as Chrome browser or Maxthon , code must be written in order to clean up files such as cookies and storage. [ 6 ]

  8. Trump aims to deport all immigrants in the US illegally - AOL

    www.aol.com/news/trump-says-aims-deport...

    WASHINGTON (Reuters) -U.S. President-elect Donald Trump aims to deport all immigrants in the U.S. illegally over his four-year term but wants a deal to protect so-called "Dreamer" immigrants, he ...

  9. CIFAR-10 - Wikipedia

    en.wikipedia.org/wiki/CIFAR-10

    CIFAR-10 is a set of images that can be used to teach a computer how to recognize objects. Since the images in CIFAR-10 are low-resolution (32x32), this dataset can allow researchers to quickly try different algorithms to see what works.