Contact
How to shop
Delivery
Shopping guide
English
121 b
Up to 30 days for returns
Customers also purchased
/
Paperback
18.40
€
/
Paperback
66.05
€
/
Paperback
46.42
€
/
Paperback
44.09
€
/
Paperback
38.33
€
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.
About the book
English
Give this book today
It's easy
1 Add to cart and choose Deliver as present at the checkout 2 We'll send you a voucher 3 The book will arrive at the recipient's addressYou might also be interested in
/
Paperback
8.59
€
/
Paperback
74.24
€
/
Paperback
10.31
€
/
Paperback
19.31
€
/
Paperback
12.43
€
Hi! I'm Libroamiko, your book advisor.
How can I help you?