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  2. One-hot - Wikipedia

    en.wikipedia.org/wiki/One-hot

    The vector consists of 0s in all cells with the exception of a single 1 in a cell used uniquely to identify the word. One-hot encoding ensures that machine learning does not assume that higher numbers are more important. For example, the value '8' is bigger than the value '1', but that does not make '8' more important than '1'.

  3. Feature hashing - Wikipedia

    en.wikipedia.org/wiki/Feature_hashing

    In a typical document classification task, the input to the machine learning algorithm (both during learning and classification) is free text. From this, a bag of words (BOW) representation is constructed: the individual tokens are extracted and counted, and each distinct token in the training set defines a feature (independent variable) of each of the documents in both the training and test sets.

  4. Dummy variable (statistics) - Wikipedia

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

    For example, if we were studying the relationship between biological sex and income, we could use a dummy variable to represent the sex of each individual in the study. The variable could take on a value of 1 for males and 0 for females (or vice versa). In machine learning this is known as one-hot encoding.

  5. 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.

  6. AlphaDev - Wikipedia

    en.wikipedia.org/wiki/AlphaDev

    A Transformer network, to encode assembly opcodes are converted to one-hot encodings and concatenated to form the raw input sequence. A multilayer perceptron network, which encodes the "CPU state", that is, the states of each register and memory location for a given set of inputs,

  7. Non-return-to-zero - Wikipedia

    en.wikipedia.org/wiki/Non-return-to-zero

    The binary signal is encoded using rectangular pulse-amplitude modulation with polar NRZ(L), or polar non-return-to-zero-level code. In telecommunications, a non-return-to-zero (NRZ) line code is a binary code in which ones are represented by one significant condition, usually a positive voltage, while zeros are represented by some other significant condition, usually a negative voltage, with ...

  8. 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.

  9. Encoder (digital) - Wikipedia

    en.wikipedia.org/wiki/Encoder_(digital)

    A General encoder's block diagram. An encoder (or "simple encoder") in digital electronics is a one-hot to binary converter.That is, if there are 2 n input lines, and at most only one of them will ever be high, the binary code of this 'hot' line is produced on the n-bit output lines.