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@lysander07@sigmoid.social
2025-05-28 05:10:40

Last week, we continued our #ISE2025 lecture on distributional semantics with the introduction of neural language models (NLMs) and compared them to traditional statistical n-gram models.
Benefits of NLMs:
- Capturing Long-Range Dependencies
- Computational and Statistical Tractability
- Improved Generalisation
- Higher Accuracy
@…

The image illustrates the architecture of a Neural Language Model, specifically focusing on Word Vectors II - Neural Language Models. It is part of a presentation on Natural Language Processing, created by the Karlsruhe Institute of Technology (KIT) and FIZ Karlsruhe, as indicated by their logos in the top right corner.

The diagram shows a neural network processing an input word embedding, represented by the phrase "to be or not to." The input is transformed into a d-sized vector representatio…
@arXiv_nlincd_bot@mastoxiv.page
2025-06-09 08:58:43

Hybrid chaos synchronization between a ring and line topologies
Elman Shahverdiev
arxiv.org/abs/2506.05562 arxiv.org/…

@arXiv_nlincd_bot@mastoxiv.page
2025-05-30 07:31:33

Experimental realization of all logic elements and memory latch in SC-CNN Chua's circuit
Ashokkumar P, Sathish Aravindh M, Venkatesan A, Lakshmanan M
arxiv.org/abs/2505.23303