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  2. Long short-term memory - Wikipedia

    en.wikipedia.org/wiki/Long_short-term_memory

    Long short-term memory (LSTM) [1] is a type of recurrent neural network (RNN) aimed at mitigating the vanishing gradient problem [2] commonly encountered by traditional RNNs. Its relative insensitivity to gap length is its advantage over other RNNs, hidden Markov models , and other sequence learning methods.

  3. Time aware long short-term memory - Wikipedia

    en.wikipedia.org/wiki/Time_aware_long_short-term...

    Time Aware LSTM (T-LSTM) is a long short-term memory (LSTM) unit capable of handling irregular time intervals in longitudinal patient records. T-LSTM was developed by researchers from Michigan State University, IBM Research, and Cornell University and was first presented in the Knowledge Discovery and Data Mining (KDD) conference. [1]

  4. Connectionist temporal classification - Wikipedia

    en.wikipedia.org/wiki/Connectionist_temporal...

    Connectionist temporal classification (CTC) is a type of neural network output and associated scoring function, for training recurrent neural networks (RNNs) such as LSTM networks to tackle sequence problems where the timing is variable.

  5. List of Microsoft Office filename extensions - Wikipedia

    en.wikipedia.org/wiki/List_of_Microsoft_Office...

    Office Open XML (OOXML) format was introduced with Microsoft Office 2007 and became the default format of Microsoft Word ever since. Pertaining file extensions include:.docx – Word document.docm – Word macro-enabled document; same as docx, but may contain macros and scripts.dotx – Word template.dotm – Word macro-enabled template; same ...

  6. File:Long Short-Term Memory.svg - Wikipedia

    en.wikipedia.org/wiki/File:Long_Short-Term...

    English: A diagram for a one-unit Long Short-Term Memory (LSTM). From bottom to top : input state, hidden state and cell state, output state. Gates are sigmoïds or hyperbolic tangents. Other operators : element-wise plus and multiplication. Weights are not displayed. Inspired from Understanding LSTM, Blog of C. Olah

  7. 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]

  8. LSTM (disambiguation) - Wikipedia

    en.wikipedia.org/wiki/LSTM_(disambiguation)

    LSTM is long short-term memory, an artificial neural network. LSTM may also refer to: Liverpool School of Tropical Medicine, a higher education institution in Liverpool, UK; Land Surface Temperature Monitoring, a satellite of the Copernicus Programme

  9. List of file signatures - Wikipedia

    en.wikipedia.org/wiki/List_of_file_signatures

    Interleaf PrinterLeaf / WorldView document format (now Broadvision QuickSilver) 6E 2B 31 00: n+1: 344 nii Single file NIfTI format, used extensively in biomedical imaging. 6E 69 31 00: ni1: 344 hdr Header file of a .hdr/.img pair in NIfTI format, used extensively in biomedical imaging. 52 41 46 36 34: RAF64: 0 Report Builder file from Digital ...

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