|
Classifier (other)
Classifier may refer to: * Classifier (linguistics), or ''measure word'', especially in East Asian languages **Classifier handshape, in sign languages *Classifier (UML), in software engineering *Classification rule, in statistical classification, e.g.: **Hierarchical classifier **Linear classifier *Deductive classifier *Subobject classifier, in category theory *An air classifier or similar machine for sorting materials * Classifier (machine learning) See also * Finite-state machine#Classifiers *Classification (other) Classification is a process related to categorization, the process in which ideas and objects are recognized, differentiated and understood. Classification is the grouping of related facts into classes. It may also refer to: Business, organiza ... * Classified (other) {{disambig ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Classifier (linguistics)
A classifier ( abbreviated or ) is a word or affix that accompanies nouns and can be considered to "classify" a noun depending on the type of its referent. It is also sometimes called a measure word or counter word. Classifiers play an important role in certain languages, especially East Asian languages, including Chinese, Korean, Japanese, and Vietnamese. Classifiers are absent or marginal in European languages. An example of a possible classifier in English is ''piece'' in phrases like "three pieces of paper". In languages that have classifiers, they are often used when the noun is being counted, that is, when it appears with a numeral. In such languages, a phrase such as "three people" is often required to be expressed as "three ''X'' (of) people", where ''X'' is a classifier appropriate to the noun for "people". Classifiers sometimes have other functions too; in Chinese, they are commonly used when a noun is preceded by a demonstrative (word meaning "this" or "that") ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Classifier Handshape
In sign languages, the term classifier construction (also known as classifier predicates) refers to a morphological system that can express events and states. They use handshape classifiers to represent movement, location, and shape. Classifiers differ from signs in their morphology, namely in that signs consist of a single morpheme. Signs are composed of three meaningless phonological features: handshape, location, and movement. Classifiers, on the other hand, consist of many morphemes. Specifically, the handshape, location, and movement are all meaningful on their own. The handshape represents an entity and the hand's movement iconically represents the movement of that entity. The relative location of multiple entities can be represented iconically in two-handed constructions. Classifiers share some limited similarities with the gestures of hearing non-signers. Those who do not know the sign language can often guess the meaning of these constructions. This is because they are ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Classifier (UML)
A classifier is a category of Unified Modeling Language (UML) elements that have some common features, such as attributes or methods. Overview A classifier is an abstract metaclass classification concept that serves as a mechanism to show interfaces, classes, datatypes and components. A classifier describes a set of instances that have common behavioral and structural features ( operations and attributes, respectively). A classifier is a namespace whose members can specify a generalization hierarchy by referencing its general classifiers. A classifier is a type and can own generalizations, thereby making it possible to define generalization relationships to other classifiers. A classifier is a redefinable element, as it is possible to redefine nested classifiers. All objects that can have instances are classifiers. Important aspects *A classifier defines a namespace. *A classifier contains a set of features. *A classifier is generalizable. Types of UML classifiers * ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Classification Rule
Given a population whose members each belong to one of a number of different sets or classes, a classification rule or classifier is a procedure by which the elements of the population set are each predicted to belong to one of the classes. A perfect classification is one for which every element in the population is assigned to the class it really belongs to. An imperfect classification is one in which some errors appear, and then statistical analysis must be applied to analyse the classification. A special kind of classification rule is binary classification, for problems in which there are only two classes. Testing classification rules Given a data set consisting of pairs ''x'' and ''y'', where ''x'' denotes an element of the population and ''y'' the class it belongs to, a classification rule ''h''(''x'') is a function that assigns each element ''x'' to a predicted class \hat=h(x). A binary classification is such that the label ''y'' can take only one of two values. The true ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Statistical Classification
In statistics, classification is the problem of identifying which of a set of categories (sub-populations) an observation (or observations) belongs to. Examples are assigning a given email to the "spam" or "non-spam" class, and assigning a diagnosis to a given patient based on observed characteristics of the patient (sex, blood pressure, presence or absence of certain symptoms, etc.). Often, the individual observations are analyzed into a set of quantifiable properties, known variously as explanatory variables or ''features''. These properties may variously be categorical (e.g. "A", "B", "AB" or "O", for blood type), ordinal (e.g. "large", "medium" or "small"), integer-valued (e.g. the number of occurrences of a particular word in an email) or real-valued (e.g. a measurement of blood pressure). Other classifiers work by comparing observations to previous observations by means of a similarity or distance function. An algorithm that implements classification, especially in ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Hierarchical Classifier
Hierarchical classification is a system of grouping things according to a hierarchy. In the field of machine learning, hierarchical classification is sometimes referred to as instance space decomposition, which splits a complete multi-class problem into a set of smaller classification problems. See also * Deductive classifier * Cascading classifiers * Faceted classification A faceted classification is a classification scheme used in organizing knowledge into a systematic order. A faceted classification uses semantic categories, either general or subject-specific, that are combined to create the full classification ent ... References External links Hierarchical Classification – a useful approach for predicting thousands of possible categories Classification algorithms {{AI-stub ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Linear Classifier
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. A linear classifier achieves this by making a classification decision based on the value of a linear combination of the characteristics. An object's characteristics are also known as feature values and are typically presented to the machine in a vector called a feature vector. Such classifiers work well for practical problems such as document classification, and more generally for problems with many variables ( features), reaching accuracy levels comparable to non-linear classifiers while taking less time to train and use. Definition If the input feature vector to the classifier is a real vector \vec x, then the output score is :y = f(\vec\cdot\vec) = f\left(\sum_j w_j x_j\right), where \vec w is a real vector of weights and ''f'' is a function that converts the dot product of the two vectors into the desired outp ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Deductive Classifier
A deductive classifier is a type of artificial intelligence inference engine. It takes as input a set of declarations in a frame language about a domain such as medical research or molecular biology. For example, the names of classes, sub-classes, properties, and restrictions on allowable values. The classifier determines if the various declarations are logically consistent and if not will highlight the specific inconsistent declarations and the inconsistencies among them. If the declarations are consistent the classifier can then assert additional information based on the input. For example, it can add information about existing classes, create additional classes, etc. This differs from traditional inference engines that trigger off of IF-THEN conditions in rules. Classifiers are also similar to theorem provers in that they take as input and produce output via First Order Logic. Classifiers originated with KL-ONE Frame languages. They are increasingly significant now that they for ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Subobject Classifier
In category theory, a subobject classifier is a special object Ω of a category such that, intuitively, the subobjects of any object ''X'' in the category correspond to the morphisms from ''X'' to Ω. In typical examples, that morphism assigns "true" to the elements of the subobject and "false" to the other elements of ''X.'' Therefore, a subobject classifier is also known as a "truth value object" and the concept is widely used in the categorical description of logic. Note however that subobject classifiers are often much more complicated than the simple binary logic truth values . Introductory example As an example, the set Ω = is a subobject classifier in the category of sets and functions: to every subset ''A'' of ''S'' defined by the inclusion function '' j '' : ''A'' → ''S'' we can assign the function ''χA'' from ''S'' to Ω that maps precisely the elements of ''A'' to 1 (see characteristic function). Every function from ''S'' to Ω arises in this fashion from prec ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Air Classifier
An air classifier is an industrial machine which separates materials by a combination of size, shape, and density. It works by injecting the material stream to be sorted into a chamber which contains a column of rising air. Inside the separation chamber, air drag on the objects supplies an upward force which counteracts the force of gravity and lifts the material to be sorted up into the air. Due to the dependence of air drag on object size and shape, the objects in the moving air column are sorted vertically and can be separated in this manner. Air classifiers are commonly employed in industrial processes where a large volume of mixed materials with differing physical characteristics need to be separated quickly and efficiently. Air classifier is helpful for cement, air pollution control, food processing, pigments, pharmaceutical, cosmetics or chemical industries. One such example is in municipal recycling centers, where various types of metal, paper, and plastics arrive mixed ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Classifier (machine Learning)
In statistics, classification is the problem of identifying which of a set of categories (sub-populations) an observation (or observations) belongs to. Examples are assigning a given email to the "spam" or "non-spam" class, and assigning a diagnosis to a given patient based on observed characteristics of the patient (sex, blood pressure, presence or absence of certain symptoms, etc.). Often, the individual observations are analyzed into a set of quantifiable properties, known variously as explanatory variables or ''features''. These properties may variously be categorical (e.g. "A", "B", "AB" or "O", for blood type), ordinal (e.g. "large", "medium" or "small"), integer-valued (e.g. the number of occurrences of a particular word in an email) or real-valued (e.g. a measurement of blood pressure). Other classifiers work by comparing observations to previous observations by means of a similarity or distance function. An algorithm that implements classification, especially i ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Finite-state Machine
A finite-state machine (FSM) or finite-state automaton (FSA, plural: ''automata''), finite automaton, or simply a state machine, is a mathematical model of computation. It is an abstract machine that can be in exactly one of a finite number of '' states'' at any given time. The FSM can change from one state to another in response to some inputs; the change from one state to another is called a ''transition''. An FSM is defined by a list of its states, its initial state, and the inputs that trigger each transition. Finite-state machines are of two types— deterministic finite-state machines and non-deterministic finite-state machines. A deterministic finite-state machine can be constructed equivalent to any non-deterministic one. The behavior of state machines can be observed in many devices in modern society that perform a predetermined sequence of actions depending on a sequence of events with which they are presented. Simple examples are vending machines, which dispense p ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
