Titlebook: Computational Learning Theory; Third European Confe Shai Ben-David Conference proceedings 1997 Springer-Verlag Berlin Heidelberg 1997 Algor

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书目名称Computational Learning Theory影响因子(影响力)




书目名称Computational Learning Theory影响因子(影响力)学科排名




书目名称Computational Learning Theory网络公开度




书目名称Computational Learning Theory网络公开度学科排名




书目名称Computational Learning Theory被引频次




书目名称Computational Learning Theory被引频次学科排名




书目名称Computational Learning Theory年度引用




书目名称Computational Learning Theory年度引用学科排名




书目名称Computational Learning Theory读者反馈




书目名称Computational Learning Theory读者反馈学科排名

reject

摘要记录

A minimax lower bound for empirical quantizer design, empirically designed vector quantizer is at least . (..) away from the optimal distortion for some distribution on a bounded subset of .., where . is the number of i.i.d. data points that are used to train the empirical quantizer.

可用

Bone-Scan

On learning branching programs and small depth circuits,We study the learnability of branching programs and small-depth circuits with modular and threshold gates in both the exact and PAC learning models with and without membership queries. Our results extend earlier works [11, 18, 15] and exhibit further applications of . [7] in learning theory.

无弹性

Computational Learning Theory978-3-540-68431-2Series ISSN 0302-9743 Series E-ISSN 1611-3349

无弹性

garrulous

Spezielle Varianten der SEM-Analyse, empirically designed vector quantizer is at least . (..) away from the optimal distortion for some distribution on a bounded subset of .., where . is the number of i.i.d. data points that are used to train the empirical quantizer.

sed-rate

verdict