Learning families of algebraic structures from informant
From MaRDI portal
Publication:2216113
DOI10.1016/J.IC.2020.104590zbMath1496.68162arXiv1905.01601OpenAlexW2943260620MaRDI QIDQ2216113
Luca San Mauro, Ekaterina B. Fokina, Nikolay Bazhenov
Publication date: 15 December 2020
Published in: Information and Computation (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1905.01601
linear ordersinfinitary logicinductive inferencecomputable structuresalgorithmic learningTuring-computable embeddings
Related Items (5)
Learning algebraic structures with the help of Borel equivalence relations ⋮ Learnability and positive equivalence relations ⋮ Computable embeddings for pairs of linear orders ⋮ Calculating the mind change complexity of learning algebraic structures ⋮ A note on computable embeddings for ordinals and their reverses
Cites Work
- Unnamed Item
- Unnamed Item
- Hypothesis spaces for learning
- Comparison of identification criteria for machine inductive inference
- On the learnability of vector spaces
- Learning recursive functions: A survey
- Learning indexed families of recursive languages from positive data: A survey
- Algorithmic complexity of algebraic systems
- Computable structures and the hyperarithmetical hierarchy
- Trees and learning
- Turing Computability
- Counting the back-and-forth types
- Three theorems on recursive enumeration. I. Decomposition. II. Maximal set. III. Enumeration without duplication
- Toward a mathematical theory of inductive inference
- Computable Structure Theory
- Turing computable embeddings
- Comparing Classes of Finite Structures
- Language identification in the limit
- Learning algebraic structures from text
This page was built for publication: Learning families of algebraic structures from informant