In machine learning, pattern recognition is the assignment of a label to a given input value. An example of pattern recognition is classification, which attempts to assign each input value to one of a given set of classes (for example, determine whether a given email is "spam" or "non-spam"). However, pattern recognition is a more general problem that encompasses other types of output as well. Other examples are regression, which assigns a real-valued output to each input; sequence labeling, which assigns a class to each member of a sequence of values (for example, part of speech tagging, which assigns a part of speech to each word in an input sentence); and parsing, which assigns a parse tree to an input sentence, describing the syntactic structure of the sentence.
Pattern recognition algorithms generally aim to provide a reasonable answer for all possible inputs and to do "fuzzy" matching of inputs. This is opposed to pattern matching algorithms, which look for exact matches in the input with pre-existing patterns. A common example of a pattern-matching algorithm is regular expression matching, which looks for patterns of a given sort in textual data and is included in the search capabilities of many text editors and word processors. In contrast to pattern recognition, pattern matching is generally not considered a type of machine learning, although pattern-matching algorithms (especially with fairly general, carefully tailored patterns) can sometimes succeed in providing similar-quality output to the sort provided by pattern-recognition algorithms.
Pattern recognition is studied in many fields, including psychology, psychiatry, ethology, cognitive science, traffic flow and computer science.
Other articles related to "pattern recognition, pattern":
... Specialized software tools for statistical analysis to determine the extent of over- or under-expression of a gene in a microarray experiment relative to a reference state have also been developed to aid in identifying genes or gene sets associated with particular phenotypes ... One such method of analysis, known as Gene Set Enrichment Analysis (GSEA), uses a Kolmogorov-Smirnov-style statistic to identify groups of genes that are regulated together ...
... Conferences on computer vision (including also image analysis) and pattern recognition ICCV - International Conference on Computer Vision CVPR - Conference on Computer Vision and Pattern Recognition ...
... Vision and Pattern Recognition Group of Muhammad Ali Jinnah University is actively involved in basic and applied research in the fields of Image Processing, Machine/Computer Vision and ...
... In a pattern recognition method the provider uses experience to recognize a pattern of clinical characteristics ... Theoretically, a certain pattern of signs or symptoms can be directly associated with a certain therapy, even without a definite decision regarding what is the ...
Famous quotes containing the words recognition and/or pattern:
“Tragedy, as you know, is always a fait accompli, whereas terror always has to do with anticipation, with mans recognition of his own negative potentialwith his sense of what he is capable of.”
—Joseph Brodsky (b. 1940)
“Swift while the woof is whole,
turn now my spirit, swift,
and tear the pattern there,
the flowers so deftly wrought,
the border of sea-blue,
the sea-blue coast of home.”
—Hilda Doolittle (18861961)