The ability of a chosen classification algorithm to induce a good
generalization depends on how appropriate its representation
language used to express generalizations of the examples is for the
given task. Since different learning algorithms employ different
knowledge representations and search heuristics, different search
spaces are explored and diverse results are obtained. The problem
of finding the appropriate model for a given task is an active
research area. In this dissertation, instead of looking for methods
that fit the data using a single representation language, we
present a family of algorithms, under the generic name of {em
Cascade Generalization}, whose search spaces contains models that
use different representation languages.
General
| Imprint: |
VDM Verlag
|
| Country of origin: |
Germany |
| Release date: |
June 2009 |
| First published: |
June 2009 |
| Authors: |
Joao Gama
|
| Dimensions: |
229 x 152 x 12mm (L x W x T) |
| Format: |
Paperback - Trade
|
| Pages: |
200 |
| ISBN-13: |
978-3-639-16746-7 |
| Categories: |
Books
Promotions
|
| LSN: |
3-639-16746-5 |
| Barcode: |
9783639167467 |
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