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

懇求

書目名稱Computational Learning Theory影響因子(影響力)




書目名稱Computational Learning Theory影響因子(影響力)學(xué)科排名




書目名稱Computational Learning Theory網(wǎng)絡(luò)公開度




書目名稱Computational Learning Theory網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computational Learning Theory被引頻次




書目名稱Computational Learning Theory被引頻次學(xué)科排名




書目名稱Computational Learning Theory年度引用




書目名稱Computational Learning Theory年度引用學(xué)科排名




書目名稱Computational Learning Theory讀者反饋




書目名稱Computational Learning Theory讀者反饋學(xué)科排名

reject

摘要記錄

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.

無彈性

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

無彈性

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