Results 21 to 30 of about 501 (254)

Analyzing Robustness of Angluin's L$^*$ Algorithm in Presence of Noise [PDF]

open access: yesLogical Methods in Computer Science
Angluin's L$^*$ algorithm learns the minimal deterministic finite automaton (DFA) of a regular language using membership and equivalence queries. Its probabilistic approximatively correct (PAC) version substitutes an equivalence query by numerous random ...
Lina Ye   +7 more
doaj   +1 more source

Fixed Point Languages, Equality Languages, and Representation of Recursively Enumerable Languages [PDF]

open access: yesJournal of the ACM, 1980
Fixed point languages and equality languages of homomorphisms and dgsm mappings are consid- ered. Some basic properties of these classes of languages are proved, and it is shown how to use them to represent recursively enumerable sets. In particular, very simple languages are introduced which play the same role for the class of recursively enumerable ...
Engelfriet, J., Rozenberg, G.
openaire   +1 more source

The Decidability of the Existential Theory of the Poset of Recursively Enumerable Degrees with Jump Relations [PDF]

open access: yes, 1996
We show that the existential theory of the recursively enumerable degrees in the language L containing predicates for order andn-jump comparability for alln, and constant symbols for least and greatest elements, is decidable.
Lerman, Manuel, Lempp, Steffen
core   +1 more source

Characterizing language identification by standardizing operations [PDF]

open access: yes, 1994
Notions from formal language learning theory are characterized in terms of standardizing operations on classes of recursively enumerable languages. Algorithmic identification in the limit of grammars from text presentation of recursively enumerable ...
Sanjay Jain   +5 more
core   +1 more source

Lattice embeddings in the recursively enumerable truth table degrees [PDF]

open access: yes, 1987
It is shown that every finite lattice, and in fact every recursively presentable lattice, can be embedded in the r.e. tt \text {tt} -degrees by a map preserving least and greatest elements.
Christine Ann Haught
core   +1 more source

Separating the Classes of Recursively Enumerable Languages Based on Machine Size [PDF]

open access: yesInternational Journal of Foundations of Computer Science, 2015
In the late nineteen sixties it was observed that the r.e. languages form an infinite proper hierarchy [Formula: see text] based on the size of the Turing machines that accept them. We examine the fundamental position of the finite languages and their complements in the hierarchy.
Jan van Leeuwen, Jirí Wiedermann
openaire   +4 more sources

Nine test tubes generate any RE language [PDF]

open access: yes, 2000
In this paper we discuss how any recursively enumerable language can be generated using a distributed splicing system with a fixed number of nine test tubes.
Ferretti, C.   +5 more
core   +1 more source

Cellular Responses to Mechanical Cues Across Scales: From Fundamental Insights to Translational Potential

open access: yesAdvanced Healthcare Materials, EarlyView.
This review examines how cellular behavior is regulated by mechanical cues transmitted through soft biomaterials, from single‐cell mechanosensing to tissue‐level adaptation. It highlights why physiological relevance, rather than model complexity alone, is critical for translational mechanobiology and introduces a scoring framework linking material ...
Mathias Polz   +9 more
wiley   +1 more source

One and Two Polarizations, Membrane Creation and Objects Complexity in P Systems [PDF]

open access: yes, 2005
We improve, by using register machines, some existing universality results for specific models of P systems. P systems with membrane creation are known to generate all recursively enumerable sets of vectors of non-negative integers, even when no region ...
Alhazov, Artiom   +2 more
core   +1 more source

DRIVE‐SAFE: Data‐Driven Robustness and Informed Validation for Evolving Specifications via Formal Evaluation

open access: yesAdvanced Robotics Research, EarlyView.
DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano   +3 more
wiley   +1 more source

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