When.com Web Search

Search results

  1. Results From The WOW.Com Content Network
  2. Echo state network - Wikipedia

    en.wikipedia.org/wiki/Echo_state_network

    RNN training algorithms were slow and often vulnerable to issues, such as branching errors. [16] Convergence could therefore not be guaranteed. On the other hand, ESN training does not have a problem with branching and is easy to implement. In early studies, ESNs were shown to perform well on time series prediction tasks from synthetic datasets.

  3. 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]

  4. scikit-learn - Wikipedia

    en.wikipedia.org/wiki/Scikit-learn

    scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...

  5. Object-oriented analysis and design - Wikipedia

    en.wikipedia.org/wiki/Object-oriented_analysis...

    Class diagram – A class diagram is a type of static structure UML diagram that describes the structure of a system by showing the system's classes, its attributes, and the relationships between the classes. The messages and classes identified through the development of the sequence diagrams can serve as input to the automatic generation of ...

  6. Version space learning - Wikipedia

    en.wikipedia.org/wiki/Version_space_learning

    Version space for a "rectangle" hypothesis language in two dimensions. Green pluses are positive examples, and red circles are negative examples. GB is the maximally general positive hypothesis boundary, and SB is the maximally specific positive hypothesis boundary. The intermediate (thin) rectangles represent the hypotheses in the version space.

  7. Data-driven programming - Wikipedia

    en.wikipedia.org/wiki/Data-driven_programming

    Standard examples of data-driven languages are the text-processing languages sed and AWK, [1] and the document transformation language XSLT, where the data is a sequence of lines in an input stream – these are thus also known as line-oriented languages – and pattern matching is primarily done via regular expressions or line numbers.

  8. Flowchart - Wikipedia

    en.wikipedia.org/wiki/Flowchart

    A simple flowchart representing a process for dealing with a non-functioning lamp.. A flowchart is a type of diagram that represents a workflow or process.A flowchart can also be defined as a diagrammatic representation of an algorithm, a step-by-step approach to solving a task.

  9. Hardware-in-the-loop simulation - Wikipedia

    en.wikipedia.org/wiki/Hardware-in-the-loop...

    Hardware-in-the-loop (HIL) simulation, also known by various acronyms such as HiL, HITL, and HWIL, is a technique that is used in the development and testing of complex real-time embedded systems.