{'fraction_non_alphanumeric': 0.02231237322515213, 'fraction_numerical': 0.0, 'mean_word_length': 6.159420289855072, '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}}
Similarity‐based learning and its extensions

This paper synthesizes a number of approaches to concept representation and learning in a multilayered model. The paper emphasizes what has been called similarity‐based learning (SBL) from examples, although this review is extended to address wider issues. The paper pays particular attention to requirements for incremental and uncertain environments, and to interrelationships among concept purpose, concept representation, and concept learning.