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  2. Connectionist temporal classification - Wikipedia

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

    Alternative approaches to a CTC-fitted neural network include a hidden Markov model (HMM). In 2009, a Connectionist Temporal Classification (CTC)-trained LSTM network was the first RNN to win pattern recognition contests when it won several competitions in connected handwriting recognition. [4] [5]

  3. Long short-term memory - Wikipedia

    en.wikipedia.org/wiki/Long_short-term_memory

    The Long Short-Term Memory (LSTM) cell can process data sequentially and keep its hidden state through time. 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.

  4. Time delay neural network - Wikipedia

    en.wikipedia.org/wiki/Time_delay_neural_network

    Time delay neural network (TDNN) [1] is a multilayer artificial neural network architecture whose purpose is to 1) classify patterns with shift-invariance, and 2) model context at each layer of the network.

  5. Bidirectional recurrent neural networks - Wikipedia

    en.wikipedia.org/wiki/Bidirectional_recurrent...

    For example, multilayer perceptron (MLPs) and time delay neural network (TDNNs) have limitations on the input data flexibility, as they require their input data to be fixed. Standard recurrent neural network (RNNs) also have restrictions as the future input information cannot be reached from the current state.

  6. Recurrent neural network - Wikipedia

    en.wikipedia.org/wiki/Recurrent_neural_network

    Unlike feedforward neural networks, which process data in a single pass, RNNs process data across multiple time steps, making them well-adapted for modelling and processing text, speech, and time series. [1] The building block of RNNs is the recurrent unit. This unit maintains a hidden state, essentially a form of memory, which is updated at ...

  7. Time series database - Wikipedia

    en.wikipedia.org/wiki/Time_series_database

    In many cases, the repositories of time-series data will utilize compression algorithms to manage the data efficiently. [ 3 ] [ 4 ] Although it is possible to store time-series data in many different database types, the design of these systems with time as a key index is distinctly different from relational databases which reduce discrete ...

  8. Man getting packages finds missing babies in a ditch - AOL

    www.aol.com/man-getting-packages-finds-missing...

    This is the second time within the last two weeks a child was kidnapped due to a stolen vehicle. On Nov. 20, Indianapolis Metropolitan Police issued an alert that a baby boy was inside a Black ...

  9. 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]

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