Algorithmic learning theory. 13th international conference, ALT 2002, Lübeck, Germany, November 24--26, 2002. Proceedings
type: Item
instance of: scholarly article
title: Algorithmic learning theory. 13th international conference, ALT 2002, Lübeck, Germany, November 24--26, 2002. Proceedings
zbMATH Open document ID: 1012.00045
published in: Lecture Notes in Computer Science
publication date: 2003-05-14T00:00:00Z
full work available at URL: t2533.htm
review text: The articles of this volume will be reviewed individually. The preceding conference (12th) has been reviewed (see Zbl 0983.00054). Indexed articles: \textit{Cesa-Bianchi, Nicolò; Numao, Masayuki; Reischuk, Rüdiger}, Editors' introduction, 1-6 [Zbl 1024.68530] \textit{Hayashi, Susumu}, Mathematics based on learning, 7-21 [Zbl 1024.68052] \textit{Kruse, Rudolf; Borgelt, Christian}, Data mining with graphical models, 22 [Zbl 1024.68525] \textit{Shawe-Taylor, John; Williams, Chris; Cristianini, Nello; Kandola, Jaz}, On the eigenspectrum of the Gram matrix and its relationship to the operator eigenspectrum, 23-40 [Zbl 1024.68060] \textit{Widmer, Gerhard}, In search of the Horowitz factor: Interim report on a musical discovery project, 41 [Zbl 1024.68540] \textit{Witten, Ian H.}, Learning structure from sequences, with applications in a digital library, 42-56 [Zbl 1024.68542] \textit{Amano, Kazuyuki; Maruoka, Akira}, On learning monotone Boolean functions under the uniform distribution, 57-68 [Zbl 1024.68046] \textit{Servedio, Rocco A.}, On learning embedded midbit functions, 69-82 [Zbl 1024.68059] \textit{Bshouty, Nader H.; Burroughs, Lynn}, Maximizing agreements and CoAgnostic learning, 83-97 [Zbl 1024.68048] \textit{Gavinsky, Dmitry}, Optimally-smooth adaptive boosting and application to agnostic learning, 98-112 [Zbl 1024.68533] \textit{Kivinen, Jyrki; Smola, Alex J.; Williamson, Robert C.}, Large margin classification for moving targets, 113-127 [Zbl 1024.68054] \textit{Forster, Jürgen; Simon, Hans Ulrich}, On the smallest possible dimension and the largest possible margin of linear arrangements representing given concept classes uniform distribution, 128-138 [Zbl 1024.68049] \textit{Köbler, Johannes; Lindner, Wolfgang}, A general dimension for approximately learning Boolean functions, 139-148 [Zbl 1024.68055] \textit{Köbler, Johannes; Lindner, Wolfgang}, The complexity of learning concept classes with polynomial general dimension, 149-163 [Zbl 1024.68056] \textit{Ka…
Mathematics Subject Classification ID: 00B25
Mathematics Subject Classification ID: 68-06
Mathematics Subject Classification ID: 68Q32
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 1911149
zbMATH Keywords: Algorithmic learning theory
zbMATH Keywords: ALT 2002
zbMATH Keywords: Lübeck, Germany
MaRDI profile type: Publication
DOI: 10.1007/3-540-36169-3
OpenAlex ID: W2492987717
description: scientific article; zbMATH DE number 1911149