Active Online Learning in the Binary Perceptron Problem<xref rid="ctp_71_2_243fn1" ref-type="fn">*</xref><fn id="ctp_71_2_243fn1"><label>*</label><p>Supported by the National Natural Science Foundation of China under Grant Nos. 11421063 and 11747601 and the Chinese Academy of Sciences under Grant No. QYZDJ-SSW-SYS018</p></fn>

Active Online Learning in the Binary Perceptron Problem**

Supported by the National Natural Science Foundation of China under Grant Nos. 11421063 and 11747601 and the Chinese Academy of Sciences under Grant No. QYZDJ-SSW-SYS018

Zhou Hai-Jun^{1, 2, †}

Same as Fig. 3 and Fig. 4, but for active online learning under the designing constraint (15) and the additional orthogonality constraints, see Eq. (28). The number of stored training patterns is set to be M = N−1.