- algorithm error validation
- алгоритмнің қателігін тексеру
Ақпараттану мен есептеу техникасы терминдерінің қытайша-қазақша-ағылшынша-орысша сөздігі. - Үрімжі: Шынжаң ғылым-техника баспасы. Ережепұлы Қ.. 2010.
algorithm error validation
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K-nearest neighbor algorithm — In pattern recognition, the k nearest neighbor algorithm ( k NN) is a method for classifying objects based on closest training examples in the feature space. k NN is a type of instance based learning, or lazy learning where the function is only… … Wikipedia
k-nearest neighbor algorithm — KNN redirects here. For other uses, see KNN (disambiguation). In pattern recognition, the k nearest neighbor algorithm (k NN) is a method for classifying objects based on closest training examples in the feature space. k NN is a type of instance… … Wikipedia
Certification path validation algorithm — The certification path validation algorithm is the algorithm which verifies that a given certificate path is valid under a given public key infrastructure (PKI). A path starts with the Subject certificate and proceeds through a number of… … Wikipedia
Luhn algorithm — The Luhn algorithm or Luhn formula, also known as the modulus 10 or mod 10 algorithm, is a simple checksum formula used to validate a variety of identification numbers, such as credit card numbers, IMEI numbers, National Provider Identifier… … Wikipedia
Gauss–Newton algorithm — The Gauss–Newton algorithm is a method used to solve non linear least squares problems. It can be seen as a modification of Newton s method for finding a minimum of a function. Unlike Newton s method, the Gauss–Newton algorithm can only be used… … Wikipedia
Extended Validation Certificate — Extended Validation Certificates (EV) [ The term validation as used here should not be confused with the Certification path validation algorithm commonly found in a certificate context.] are a special type of X.509 certificate which require more… … Wikipedia
Determining the number of clusters in a data set — Determining the number of clusters in a data set, a quantity often labeled k as in the k means algorithm, is a frequent problem in data clustering, and is a distinct issue from the process of actually solving the clustering problem. For a certain … Wikipedia
Algorithmic efficiency — In computer science, efficiency is used to describe properties of an algorithm relating to how much of various types of resources it consumes. Algorithmic efficiency can be thought of as analogous to engineering productivity for a repeating or… … Wikipedia
List of statistics topics — Please add any Wikipedia articles related to statistics that are not already on this list.The Related changes link in the margin of this page (below search) leads to a list of the most recent changes to the articles listed below. To see the most… … Wikipedia
Entity–attribute–value model — (EAV) is a data model to describe entities where the number of attributes (properties, parameters) that can be used to describe them is potentially vast, but the number that will actually apply to a given entity is relatively modest. In… … Wikipedia
Overfitting — Noisy (roughly linear) data is fitted to both linear and polynomial functions. Although the polynomial function passes through each data point, and the linear function through few, the linear version is a better fit. If the regression curves were … Wikipedia
