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Listar por palabra clave "Machine teaching"

Mostrando ítems 1-4 de 4

A Probabilistic Framework for Non-Cheating Machine Teaching

Ferri Ramírez, César; Hernández Orallo, José; Telle, Jan Arne (2022-05-03)

Over the past decades in the field of machine teaching, several restrictions have been introduced to avoid ‘cheating’, such as collusion-free or non-clashing teaching. However, these restrictions forbid several teaching ...
Comparison between machine learning and human learning from examples generated with machine teaching

Jaimovitch López, Gonzalo Eduardo (Universitat Politècnica de València, 2020-10-21)

[EN] In contrast to the term widely known as Machine Learning, a successful branch of Artificial Intelligence (AI), the concept of Machine Teaching arises. One of its main objectives is the optimization of learning through ...
Optimal Teaching Curricula with Compositional Simplicity Priors

García-Piqueras, Manuel; Hernández-Orallo, José (Springer, 2021-09-17)

[EN] Machine teaching under strong simplicity priors can teach any concept in universal languages. Remarkably, recent experiments suggest that the teaching sets are shorter than the concept description itself. This raises ...
The teaching size: computable teachers and learners for universal languages

Telle, Jan Arne; Hernández-Orallo, José; Ferri Ramírez, César (Springer-Verlag, 2019-09)

[EN] The theoretical hardness of machine teaching has usually been analyzed for a range of concept languages under several variants of the teaching dimension: the minimum number of examples that a teacher needs to figure ...

Mostrando ítems 1-4 de 4

Listar por palabra clave "Machine teaching"

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