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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. Recurrent neural network - Wikipedia

    en.wikipedia.org/wiki/Recurrent_neural_network

    LSTM works even given long delays between significant events and can handle signals that mix low and high-frequency components. Many applications use stacks of LSTMs, [57] for which it is called "deep LSTM". LSTM can learn to recognize context-sensitive languages unlike previous models based on hidden Markov models (HMM) and similar concepts. [58]

  5. 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.

  6. Kraft Heinz must face Mac & Cheese lawsuit, judge rules - AOL

    www.aol.com/news/kraft-heinz-must-face-mac...

    A federal judge said Kraft Heinz must face a proposed nationwide class action alleging that it defrauded consumers by claiming its Kraft macaroni and cheese, one of its best-known products ...

  7. Attention Is All You Need - Wikipedia

    en.wikipedia.org/wiki/Attention_Is_All_You_Need

    A 380M-parameter model for machine translation uses two long short-term memories (LSTM). [21] Its architecture consists of two parts. The encoder is an LSTM that takes in a sequence of tokens and turns it into a vector. The decoder is another LSTM that converts the vector into a sequence

  8. Trump's plan to end daylight saving: Will 4:30 a.m. be the ...

    www.aol.com/trumps-plan-end-daylight-savings...

    Trump’s proposed sunset of daylight saving time, a practice long believed to be supported by U.S. business interests, stunned the medical community that’s been pushing for years to make ...

  9. 5 convicted in Amsterdam over violence against Israeli soccer ...

    www.aol.com/news/5-convicted-netherlands-over...

    A Dutch court convicted five men Tuesday for their part in last month's violence against Israeli soccer fans in Amsterdam that shocked the world and sparked accusations of antisemitism. The ...