{'fraction_non_alphanumeric': 0.022675736961451247, 'fraction_numerical': 0.0, 'mean_word_length': 5.138888888888889, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
An Algorithm to Learn Read-Once Threshold Formulas, and some Generic Transformations between Learning Models

We present a membership query (i.e.~black box interpolation) algorithm for exactly identifying the class of read-once formulas over the basis of boolean threshold functions. We also present a catalogue of generic transformations that can be used to convert an algorithm in one learning model into an algorithm in a different model.