Titlebook: Algorithmic Learning Theory; 17th International C José L. Balcázar,Philip M. Long,Frank Stephan Conference proceedings 2006 Springer-Verlag

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https://doi.org/10.1007/978-3-0348-6479-4t the capabilities of incremental learners. These results may serve as a first step towards characterising the structure of typical classes learnable incrementally and thus towards elaborating uniform incremental learning methods.

Osteons

Der Bildhauer Walter Ostermayerly describe some non-trivial connections to (seemingly) different topics in learning theory, complexity theory, and cryptography. A connection to the so-called Hidden Number Problem, which plays an important role for proving bit-security of cryptographic functions, will be discussed in somewhat more detail.

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https://doi.org/10.1007/978-3-0348-6479-4t learnable in another one. Some characterizations for learnability of algorithmically enumerable families of languages for the models in question are obtained. Since learnability of any part of the target language does not imply . of the learning process, we consider also our models under additional monotonicity constraint.

Dorsal

Spectral Norm in Learning Theory: Some Selected Topicsly describe some non-trivial connections to (seemingly) different topics in learning theory, complexity theory, and cryptography. A connection to the so-called Hidden Number Problem, which plays an important role for proving bit-security of cryptographic functions, will be discussed in somewhat more detail.

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Learning and Extending Sublanguagest learnable in another one. Some characterizations for learnability of algorithmically enumerable families of languages for the models in question are obtained. Since learnability of any part of the target language does not imply . of the learning process, we consider also our models under additional monotonicity constraint.

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