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  2. Dummy variable (statistics) - Wikipedia

    en.wikipedia.org/wiki/Dummy_variable_(statistics)

    In this case, multiple dummy variables would be created to represent each level of the variable, and only one dummy variable would take on a value of 1 for each observation. Dummy variables are useful because they allow us to include categorical variables in our analysis, which would otherwise be difficult to include due to their non-numeric ...

  3. One-hot - Wikipedia

    en.wikipedia.org/wiki/One-hot

    One-hot encoding is often used for indicating the state of a state machine.When using binary, a decoder is needed to determine the state. A one-hot state machine, however, does not need a decoder as the state machine is in the nth state if, and only if, the nth bit is high.

  4. State encoding for low power - Wikipedia

    en.wikipedia.org/wiki/State_encoding_for_low_power

    Following are some of the techniques which are widely used for state encoding: In one-hot encoding, only one of the bits of the state variable is "1" (hot) for any given state. All the other bits are "0". The Hamming distance of this technique is 2. One-hot encoding requires one flip-flop for every state in the FSM.

  5. Constant-weight code - Wikipedia

    en.wikipedia.org/wiki/Constant-weight_code

    A special case of constant weight codes are the one-of-N codes, that encode ⁡ bits in a code-word of bits. The one-of-two code uses the code words 01 and 10 to encode the bits '0' and '1'. A one-of-four code can use the words 0001, 0010, 0100, 1000 in order to encode two bits 00, 01, 10, and 11.

  6. Download, install, or uninstall AOL Desktop Gold

    help.aol.com/articles/aol-desktop-downloading...

    Learn how to download and install or uninstall the Desktop Gold software and if your computer meets the system requirements.

  7. Feature (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Feature_(machine_learning)

    Examples of categorical features include gender, color, and zip code. Categorical features typically need to be converted to numerical features before they can be used in machine learning algorithms. This can be done using a variety of techniques, such as one-hot encoding, label encoding, and ordinal encoding.

  8. Russia says Trump Ukraine aid cut would be 'death sentence ...

    www.aol.com/news/russia-says-trump-ukraine-aid...

    Russia's deputy U.N. ambassador said on Wednesday any decision by President-elect Donald Trump's incoming administration to cut support for Ukraine would be a "death sentence" for the Ukrainian ...

  9. One hot encoding - Wikipedia

    en.wikipedia.org/?title=One_hot_encoding&redirect=no

    This page was last edited on 17 November 2006, at 00:14 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may apply.