On-line Linear Discriminant Classifier

Name: On-line Linear Discriminant Classifier
Brand: VDM Verlag Dr. Müller
SKU: 9783639175868
Price: 205.88 PLN
Availability: InStock

and its Application to Delayed Labelling

Autor: Catrin Plumpton

Język:

Oprawa: Miękka

Wydawca: VDM Verlag Dr. Müller

Dostępność: Na zamówienie

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We present an on-line Linear Discriminant Classifier for streaming data (O-LDC). This is an adaptati...

Informacje o książce

Autor

Catrin Plumpton

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2009

strony

EAN

9783639175868

Enbook ID

06825874

Wydawca

VDM Verlag Dr. Müller

Waga

112

Wymiary

150 x 220 x 4

Pełny opis

We present an on-line Linear Discriminant Classifier for streaming data (O-LDC). This is an adaptation of the Linear Discriminant Classifier, with the class means and the inverse covariance matrix re-calculated after each new data point. The classifier satisfies the properties of an on-line classifier; it learns from a single pass through the data, uses limited memory and processing power, and exhibits any-time learning. We compare the O-LDC with on-line versions of the Perceptron and balanced Winnow classifiers. Comparisons are carried out across a series of static data sets made up of two classes. The O-LDC shows higher accuracy and a better learning rate than its counterparts. As a second task we consider delayed labelling. We propose two strategies. The passive strategy 'waits' for the correct label of a data point before using it to update the classifier. The aggressive strategy, makes use of naďve labelling, using the predicted label of a data point to update the classifier. The strategies are compared across a series of static data sets. The final accuracy of both strategies was comparable, though the passive strategy showed a better learning pattern.

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On-line Linear Discriminant Classifier

and its Application to Delayed Labelling

Informacje o książce

Pełny opis

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