enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. Dependent and independent variables - Wikipedia

    en.wikipedia.org/wiki/Dependent_and_independent...

    It is possible to have multiple independent variables or multiple dependent variables. For instance, in multivariable calculus, one often encounters functions of the form z = f(x,y), where z is a dependent variable and x and y are independent variables. [8] Functions with multiple outputs are often referred to as vector-valued functions.

  3. Graphical model - Wikipedia

    en.wikipedia.org/wiki/Graphical_model

    Example of a directed acyclic graph on four vertices. If the network structure of the model is a directed acyclic graph, the model represents a factorization of the joint probability of all random variables. More precisely, if the events are , …, then the joint probability satisfies

  4. Regression analysis - Wikipedia

    en.wikipedia.org/wiki/Regression_analysis

    The response variable may be non-continuous ("limited" to lie on some subset of the real line). For binary (zero or one) variables, if analysis proceeds with least-squares linear regression, the model is called the linear probability model. Nonlinear models for binary dependent variables include the probit and logit model.

  5. Data dependency - Wikipedia

    en.wikipedia.org/wiki/Data_dependency

    Example: MUL R3,R1,R2 ADD R2,R5,R6 It is clear that there is anti-dependence between these 2 instructions. At first we read R2 then in second instruction we are Writing a new value for it. An anti-dependency is an example of a name dependency. That is, renaming of variables could remove the dependency, as in the next example: 1. B = 3 N. B2 = B 2.

  6. Dependency graph - Wikipedia

    en.wikipedia.org/wiki/Dependency_graph

    Dead code elimination: If no side effected operation depends on a variable, this variable is considered dead and can be removed. Dynamic graph analytics: GraphBolt [2] and KickStarter [3] capture value dependencies for incremental computing when graph structure changes. Spreadsheet calculators. They need to derive a correct calculation order ...

  7. Dependence analysis - Wikipedia

    en.wikipedia.org/wiki/Dependence_analysis

    A statement S2 is input dependent on S1 (written ) if and only if S1 and S2 read the same resource and S1 precedes S2 in execution. The following is an example of an input dependence (RAR: Read-After-Read): S1 y := x + 3 S2 z := x + 5 Here, S2 and S1 both access the variable x. This dependence does not prohibit reordering.

  8. Forgetting curve - Wikipedia

    en.wikipedia.org/wiki/Forgetting_curve

    The forgetting curve hypothesizes the decline of memory retention in time. This curve shows how information is lost over time when there is no attempt to retain it. [1] A related concept is the strength of memory that refers to the durability that memory traces in the brain. The stronger the memory, the longer period of time that a person is ...

  9. Bayesian network - Wikipedia

    en.wikipedia.org/wiki/Bayesian_network

    A Bayesian network (also known as a Bayes network, Bayes net, belief network, or decision network) is a probabilistic graphical model that represents a set of variables and their conditional dependencies via a directed acyclic graph (DAG). [1]