statistical classification

Therefore, it can be considered a problem of statistical classification.

The method is particularly effective when applied to statistical classification.

More information on training and testing classifiers is at statistical classification.

A statistical classification brings together similar clinical concepts and groups them into categories.

It is normally used to measure the separability of classes in Statistical classification.

These are all statistical classification problems.

In the summer of 2001, Ritter started development on anti-spam technology using machine-learning statistical classification algorithms.

Statistical classification software based on adaptive kernel density estimation.

A mixture used as a statistical model such as is often used for statistical classification.

Its has products for Enterprise search, Taxonomy Management and Statistical classification.

The ICD is currently the most widely used statistical classification system for diseases in the world.

Nearest neighbour classifiers are a class of non-parametric methods used in statistical classification (or pattern recognition).

In statistical classification the Bayes classifier minimises the probability of misclassification.

In statistical classification, the rule which assigns a class to a new data-item can be consider to be a special type of estimator.

IIT is not simply a fiction or artifact produced by statistical classifications and definitions, but very much a reality.

In the field of machine learning, the goal of statistical classification is to use an object's characteristics to identify which class (or group) it belongs to.

As applied to statistical classification, Bayesian inference has been used in recent years to develop algorithms for identifying e-mail spam.

Nonetheless the Bayes classifier is useful in providing a benchmark to aim for in statistical classification.

It is necessary to employ signal processing and statistical classification to convert sensor data on the infrastructural health stutus into damage info for assessment.

Many different medical classifications exist, though they occur into two main groupings: Statistical classifications and Nomenclatures.

In statistical classification, the Bayes error rate is the lowest possible error rate for a given class of classifier.

Clinical coders may use many different classifications, which fall into two main groupings: statistical classifications and nomenclatures.

International statistical classification of diseases and related health problems, ninth revision, clinical modification, ICD-9-CM.

Also known as classification or statistical classification, pattern recognition aims at building a classifier that can determine the class of an input pattern.

Statistical classification of economic activities in the European Community (NACE)