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发表于 2025-3-21 18:44:42
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发表于 2025-3-21 22:43:59
Ten Open Problems in Grammatical Inferenceical questions. They cover the areas of polynomial learning models, learning from ordered alphabets, learning deterministic .s, learning negotiation processes, learning from context-free background knowledge.
Cocker
发表于 2025-3-22 03:39:17
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monochromatic
发表于 2025-3-22 07:49:10
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macular-edema
发表于 2025-3-22 09:40:14
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巨头
发表于 2025-3-22 16:35:53
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巨头
发表于 2025-3-22 17:44:59
Stochastic Analysis of Lexical and Semantic Enhanced Structural Language Modelnt semantic analysis (PLSA) for the purpose of statistical language modeling. The SLM is essentially a generalization of shift-reduce probabilistic push-down automata thus more complex and powerful than probabilistic context free grammars (PCFGs). The added context-sensitiveness due to trigrams and
initiate
发表于 2025-3-22 23:14:01
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Omnipotent
发表于 2025-3-23 03:24:09
Learning Analysis by Reduction from Positive Datapaper we propose a method for learning restarting automata which are strictly locally testable (.-.-automata). The method is based on the concept of identification in the limit from positive examples only. Also we characterize the class of languages accepted by .-.-automata with respect to the Choms
使坚硬
发表于 2025-3-23 09:00:29
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