The Perceptron algorithm versus Winnow: Linear versus logarithmic mistake bounds when few input variables are relevant
Publikationen: Beitrag in Fachzeitschrift › Artikel › Forschung › (peer-reviewed)
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in: Artificial intelligence, Jahrgang 97, Nr. 1-2, 01.12.1997, S. 325-343.
Publikationen: Beitrag in Fachzeitschrift › Artikel › Forschung › (peer-reviewed)
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TY - JOUR
T1 - The Perceptron algorithm versus Winnow
T2 - Linear versus logarithmic mistake bounds when few input variables are relevant
AU - Kivinen, J.
AU - Warmuth, M. K.
AU - Auer, P.
PY - 1997/12/1
Y1 - 1997/12/1
KW - Linear threshold functions
KW - Mistake bounds
KW - Multiplicative updates
KW - Perceptron algorithm
KW - Relevant variables
UR - http://www.scopus.com/inward/record.url?scp=0031375503&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:0031375503
VL - 97
SP - 325
EP - 343
JO - Artificial intelligence
JF - Artificial intelligence
SN - 0004-3702
IS - 1-2
ER -