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  2. Recurrent neural network - Wikipedia

    en.wikipedia.org/wiki/Recurrent_neural_network

    Each higher level RNN thus studies a compressed representation of the information in the RNN below. This is done such that the input sequence can be precisely reconstructed from the representation at the highest level. The system effectively minimizes the description length or the negative logarithm of the probability of the data. [97]

  3. Types of artificial neural networks - Wikipedia

    en.wikipedia.org/wiki/Types_of_artificial_neural...

    A RNN (often a LSTM) where a series is decomposed into a number of scales where every scale informs the primary length between two consecutive points. A first order scale consists of a normal RNN, a second order consists of all points separated by two indices and so on. The Nth order RNN connects the first and last node.

  4. Echo state network - Wikipedia

    en.wikipedia.org/wiki/Echo_state_network

    Today, many of the problems that made RNNs slow and error-prone have been addressed with the advent of autodifferentiation (deep learning) libraries, as well as more stable architectures such as long short-term memory and Gated recurrent unit; thus, the unique selling point of ESNs has been lost. RNNs have also proven themselves in several ...

  5. Long short-term memory - Wikipedia

    en.wikipedia.org/wiki/Long_short-term_memory

    In theory, classic RNNs can keep track of arbitrary long-term dependencies in the input sequences. The problem with classic RNNs is computational (or practical) in nature: when training a classic RNN using back-propagation, the long-term gradients which are back-propagated can "vanish", meaning they can tend to zero due to very small numbers creeping into the computations, causing the model to ...

  6. System of record - Wikipedia

    en.wikipedia.org/wiki/System_of_record

    A system of record (SOR) or source system of record (SSoR) is a data management term for an information storage system (commonly implemented on a computer system running a database management system) that is the authoritative data source for a given data element or piece of information, like for example a row (or record) in a table.

  7. Reinforcement learning - Wikipedia

    en.wikipedia.org/wiki/Reinforcement_learning

    The main difference between classical dynamic programming methods and reinforcement learning algorithms is that the latter do not assume knowledge of an exact mathematical model of the Markov decision process, and they target large MDPs where exact methods become infeasible.

  8. Management system - Wikipedia

    en.wikipedia.org/wiki/Management_system

    A management system is a set of policies, processes and procedures used by an organization to ensure that it can fulfill the tasks required to achieve its objectives. [1] These objectives cover many aspects of the organization's operations (including product quality, worker management, safe operation, client relationships, regulatory ...

  9. Comparison of reference management software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_reference...

    Some reference management software include support for automatic embedding and (re)formatting of references in Word processor programs. This table lists this type of support for Microsoft Word , Pages , Apache OpenOffice / LibreOffice Writer , the LaTeX editors Kile and LyX , and Google Docs .