A保存的
发表于 2025-3-25 03:50:34
http://reply.papertrans.cn/16/1530/152985/152985_21.png
上流社会
发表于 2025-3-25 09:00:26
https://doi.org/10.1007/978-3-531-90520-4lled competing semantics, we show that the learnability result for positive and negative data can be lifted to the general case of arbitrary patterns. Learning under the standard semantics from positive data is closely related to monotonic language learning.
冰雹
发表于 2025-3-25 12:25:45
http://reply.papertrans.cn/16/1530/152985/152985_23.png
船员
发表于 2025-3-25 18:18:04
http://reply.papertrans.cn/16/1530/152985/152985_24.png
拖债
发表于 2025-3-25 23:37:58
Das Bologna-Projekt: Entwicklungsphasenr functions, which learning device are trying to identify at the same time, i.e., these classes are identifiable only with learning devices that show some improvement of learning capabilities with practice.
Canyon
发表于 2025-3-26 01:33:49
http://reply.papertrans.cn/16/1530/152985/152985_26.png
Maximizer
发表于 2025-3-26 06:21:55
Optimal layered learning: A PAC approach to incremental sampling,ize (.) increases exponentially and the error (.) decreases exponentially. As a consequence, a model of layered learning which requires that ., rather than ., be a polynomial function of the logarithm of the concept space would make learnable many concept classes which are not learnable in Valiant‘s PAC model.
Factual
发表于 2025-3-26 09:13:23
Towards efficient inductive synthesis of expressions from input/output examples,e art of computer experiments using this methodology is described. An example that is considered is the inductive inference of the formula for solving quadratic equations, the finding of which by pure exhaustive search would be unrealistic.
FOVEA
发表于 2025-3-26 15:29:39
http://reply.papertrans.cn/16/1530/152985/152985_29.png
彩色
发表于 2025-3-26 17:19:01
Generalized unification as background knowledge in learning logic programs,mber of atoms in ., but as the number of symbols in .. This becomes possible because the evaluation of destructors in generalized unification corresponds to the use of background predicates in Džeroski‘s algorithm.