Multiple Classifier Systems
Format: Paperback
ISBN13: 9783540677048
Paperback|9783540677048
✨ Featured Offer
Brand New
$58.73
List Price: $54.99
🚚
See all 2 offers from $58.73 FREE standard delivery by: 01 Apr 2026
Overview
Many theoretical and experimental studies have shown that a multiple classi'er system is an e'ective technique for reducing prediction errors 9,10,11,20,19]. These studies identify mainly three elements that characterize a set of cl- si'ers: -Therepresentationoftheinput(whateachindividualclassi'erreceivesby wayofinput). -Thearchitectureoftheindividualclassi'ers(algorithmsandparametri- tion). - The way to cause these classi'ers to take a decision together. Itcanbeassumedthatacombinationmethodise'cientifeachindividualcl- si'ermakeserrors'inadi'erentway', sothatitcanbeexpectedthatmostofthe classi'ers can correct the mistakes that an individual one does 1,19]. The term 'weak classi'ers' refers to classi'ers whose capacity has been reduced in some way so as to increase their prediction diversity. Either their internal architecture issimple(e.g., theyusemono-layerperceptronsinsteadofmoresophisticated neural networks), or they are prevented from using all the information available. Sinceeachclassi'erseesdi'erentsectionsofthelearningset, theerrorcorre- tion among them is reduced. It has been shown that the majority vote is the beststrategyiftheerrorsamongtheclassi'ersarenotcorrelated.Moreover, in real applications, the majority vote also appears to be as e'cient as more sophisticated decision rules 2,13]. Onemethodofgeneratingadiversesetofclassi'ersistoupsetsomeaspect ofthetraininginputofwhichtheclassi'erisrather unstable. In the present paper, westudytwodistinctwaystocreatesuchweakenedclassi'ers;i.e.learning set resampling (using the 'Bagging' approach 5]), and random feature subset selection (using 'MFS', a Multiple Feature Subsets approach 3]). Other recent and similar techniques are not discussed here but are also based on modi'cations to the training and/or the feature set 7,8,12,21].
| ISBN-13 | 9783540677048 |
|---|---|
| ISBN-10 | 3540677046 |
| List Price | $54.99 |
| Format | Paperback |
|---|---|
| Language | English |
| Pages | xii, 408 pages |
| Publisher | |
| Published On | 2000-06-14 |
View All Offers
Sort by:
Price
Condition
Seller
Seller Comments
Price
✨ Brand New
Seller details
Alibris
Sparks, NV, USA
Trade paperback (US). Glued binding. 408 p. Lecture Notes in Computer Science, 1857.
Free delivery by: 01 Apr 2026
Used, Good
Seller details
Bonita
Santa Clarita, CA, USA
Access codes and supplements are not guaranteed with used items. May be an ex-library book.
Free delivery by: 01 Apr 2026