Results 61 to 70 of about 859,079 (303)

Context-free fuzzy languages

open access: yesInformation and Control, 1974
In an earlier paper (Santos, 1973b), the author introduced two distinct but equivalent formulations of max-product grammars. One corresponds to the maximal interpretation (Salomaa, 1969) of probabilistic grammars (Santos, 1972), while the other provides a grammar for generating fuzzy languages (Santos, 1973a). Various types of max-product grammars were
openaire   +3 more sources

Block-based syntax from context-free grammars

open access: yesSoftware Language Engineering, 2020
Block-based programming systems employ a jigsaw metaphor to write programs. They are popular in the domain of programming education (e.g., Scratch), but also used as a programming interface for end-users in other disciplines, such as arts, robotics, and ...
M. V. Merino, T. Storm
semanticscholar   +1 more source

Evaluating the Ability of LSTMs to Learn Context-Free Grammars [PDF]

open access: yesBlackboxNLP@EMNLP, 2018
While long short-term memory (LSTM) neural net architectures are designed to capture sequence information, human language is generally composed of hierarchical structures. This raises the question as to whether LSTMs can learn hierarchical structures. We
Luzi Sennhauser, R. Berwick
semanticscholar   +1 more source

Tumor B‐cell infiltration in platinum‐treated advanced muscle‐invasive urothelial carcinoma

open access: yesMolecular Oncology, EarlyView.
Bladder tumors with higher pretreatment memory B‐cell infiltration were linked to longer survival after cisplatin chemotherapy, but not carboplatin. These tumors also showed more organized immune structures (tertiary lymphoid structures) and a shared pro‐inflammatory B‐cell‐rich community, suggesting that memory B cells may help identify patients most ...
Konrad Stawiski   +10 more
wiley   +1 more source

Context-Free Transductions with Neural Stacks [PDF]

open access: yesBlackboxNLP@EMNLP, 2018
This paper analyzes the behavior of stack-augmented recurrent neural network (RNN) models. Due to the architectural similarity between stack RNNs and pushdown transducers, we train stack RNN models on a number of tasks, including string reversal, context-
Sophie Hao   +6 more
semanticscholar   +1 more source

Loss of proton‐sensing TDAG8 increases tumor progression in mouse models of colon cancer

open access: yesMolecular Oncology, EarlyView.
Loss of the pH‐sensing receptor TDAG8 accelerates colorectal cancer progression in mice. Animals lacking TDAG8 expression had increased tumor growth, DNA damage, and recruitment of tumor‐associated immune cells, including macrophages, neutrophils, and monocytes.
Ermanno Malagola   +11 more
wiley   +1 more source

Erasable context-free languages

open access: yesInformation and Control, 1975
The family of (n, k)-bounded pushdown store automata is equivalent to its quasirealtime subfamily, for all n and k. In the course of the proof, a standard form theorem is established for nonterminal bounded context-free grammars and a specialized result is obtained for one-counter languages.
openaire   +2 more sources

PAK1 activation drives divergent resistance mechanisms to aromatase inhibition and tamoxifen in a luminal: A breast cancer model

open access: yesMolecular Oncology, EarlyView.
Breast cancer remains a major cause of cancer death in women, frequently developing endocrine therapy resistance. This study demonstrates that upregulated p21‐activated kinase 1 (PAK1) activity drives resistance to tamoxifen and long‐term estrogen deprivation in ER+ breast cancer models.
Luisa Schwarzmüller   +10 more
wiley   +1 more source

Generalized Results on Monoids as Memory [PDF]

open access: yesElectronic Proceedings in Theoretical Computer Science, 2017
We show that some results from the theory of group automata and monoid automata still hold for more general classes of monoids and models. Extending previous work for finite automata over commutative groups, we demonstrate a context-free language that ...
Özlem Salehi   +2 more
doaj   +1 more source

A Simplified Lower Bound for Context-Free-Language Recognition

open access: yesInformation and Control, 1986
For on-line recognition of the words in an arbitrary linear context-free language, there are known tight bounds on the time required by a deterministic multitape Turing machine.
J. Seiferas
semanticscholar   +1 more source

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