Titlebook: Computational Learning Theory; 15th Annual Conferen Jyrki Kivinen,Robert H. Sloan Conference proceedings 2002 Springer-Verlag Berlin Heidel

lymphoma

https://doi.org/10.1007/978-3-642-82224-7e time and prove its correctness. In this way, we generalize previous works of Angluin, Sakakibara and ourselves. Moreover, we show that this way all regular tree languages can be identified approximately.

樹木中

Kommunikationskonflikthypothesen,arget function and the number of queries it needs to make, where the advantage of an algorithm is the probability it succeeds in predicting a label minus the probability it doesn’t. Both lower bounds extend and/or strengthen previous results, and solved an open problem left in [.].

compassion

New Lower Bounds for Statistical Query Learningarget function and the number of queries it needs to make, where the advantage of an algorithm is the probability it succeeds in predicting a label minus the probability it doesn’t. Both lower bounds extend and/or strengthen previous results, and solved an open problem left in [.].

Urgency

Repetitions

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irritation

,Zur F?rderung des Strukturierens,riteria in the uniform model are considered. The main result is that for any pair (., .) of different inference criteria considered here there exists a fixed set of descriptions of learning problems from ., such that its union with any uniformly .-learnable collection is uniformly .-learnable, but no longer uniformly .-learnable.

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Counteract