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[КНИГА][B] An introduction to Kolmogorov complexity and its applications
Ming Li Paul Vitányi Fourth Edition Page 1 An Introduction to Kolmogorov Complexity and Its
Applications Ming Li Paul Vitányi Fourth Edition Texts in Computer Science Page 2 Texts in …
Applications Ming Li Paul Vitányi Fourth Edition Texts in Computer Science Page 2 Texts in …
[КНИГА][B] Grammatical inference: learning automata and grammars
C De la Higuera - 2010 - books.google.com
The problem of inducing, learning or inferring grammars has been studied for decades, but
only in recent years has grammatical inference emerged as an independent field with …
only in recent years has grammatical inference emerged as an independent field with …
Unsupervised learning of natural languages
We address the problem, fundamental to linguistics, bioinformatics, and certain other
disciplines, of using corpora of raw symbolic sequential data to infer underlying rules that …
disciplines, of using corpora of raw symbolic sequential data to infer underlying rules that …
[КНИГА][B] Generative artificial intelligence
The closed systems of contemporary Artificial Intelligence do not seem to lead to intelligent
machines in the near future. What is needed are open-ended systems with non-linear …
machines in the near future. What is needed are open-ended systems with non-linear …
Learning a generative probabilistic grammar of experience: A process‐level model of language acquisition
We introduce a set of biologically and computationally motivated design choices for
modeling the learning of language, or of other types of sequential, hierarchically structured …
modeling the learning of language, or of other types of sequential, hierarchically structured …
[PDF][PDF] Evolutionary algorithms in natural language processing
Natural language processing grapples with an ever-changing and moving target. The focus
of study, natural language, is natural because it changes, interacts and evolves in various …
of study, natural language, is natural because it changes, interacts and evolves in various …
MAT learners for recognizable tree languages and tree series
F Drewes - Acta Cybernetica, 2009 - cyber.bibl.u-szeged.hu
We review a family of closely related query learning algorithms for unweighted and weighted
tree automata, all of which are based on adaptations of the minimal adequate teacher (MAT) …
tree automata, all of which are based on adaptations of the minimal adequate teacher (MAT) …
Action Model Learning based on Regular Grammar Induction for AI Planning
M Grand - 2022 - theses.hal.science
The field of artificial intelligence aims to design and build autonomous agents able to
perceive, learn and act without any human intervention to perform complex tasks. To perform …
perceive, learn and act without any human intervention to perform complex tasks. To perform …
[PDF][PDF] Statistical language models for alternative sequence selection
JH Stehouwer - 2011 - research.tilburguniversity.edu
In 2006 I decided to take the opportunity to become a Ph. D. student at the Tilburg University.
I was given the task to study some challenging problems in computational linguistics and to …
I was given the task to study some challenging problems in computational linguistics and to …
Texts in Computer Science
D Gries, FB Schneider - 2020 - Springer
The Guide to Reliable Distributed Systems: Building High-Assurance Applications and
Cloud-Hosted Services is a heavily edited new edition of a prior edition that went under the …
Cloud-Hosted Services is a heavily edited new edition of a prior edition that went under the …