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, but for active online learning under the designing principle (15). Error-free inference is achieved at pattern density α ≈ 2.23.