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pro vyhledávání: '"Sá AS"'
Autor:
David M. Culver, Alan Freeman
David Culver, figure clé tant du milieu des affaires que du milieu culturel canadien, raconte son enfance à Montréal, ses études aux universités McGill et Harvard et son service militaire pendant la Deuxième Guerre mondiale. Il décrit surtout
Autor:
Jaan Puhvel
The Hittite Etymological Dictionary is a comprehensive compendium of the vocabulary of Hittite, one of the great languages of the Ancient Near East, and of paramount importance for comparative Indo-European studies. As evidenced by frequency of refer
Generative Artificial Intelligence (AI) technologies are in a phase of unprecedented rapid development following the landmark release of Chat-GPT, which brought the phenomenon to wide public attention. As the deployment of AI products rises geometric
Externí odkaz:
http://arxiv.org/abs/2411.03449
Autor:
Noureddine EL Aoufi, Michel Hollard, Bruno Latour, Michael J. Piore, Vincent Plauchu, Billaudot bernard
Ce guide méthodologique s'est construit au cours de nombreuses années dans le cadre d'enseignements assurés par Noureddine EL Aoufi au niveau Master d'économie d'organisation et Doctorat en sciences économiques à la Faculté des sciences juridi
Autor:
Eva Rossi
Voulez-vous exciter et donner tout le plaisir que vous méritez? Envie d'un vrai moment de détente intime et de bienêtre? Continuez à lire! Avec ce livre vous aurez l'occasion d'avoir tout ce que vous avez toujours voulu mais que personne ne vous
This study addresses the computational inefficiencies in point cloud classification by introducing novel MLP-based architectures inspired by recent advances in CNN optimization. Traditional neural networks heavily rely on multiplication operations, w
Externí odkaz:
http://arxiv.org/abs/2409.01998
Autor:
Li, Sheng-Wei, Wei, Zi-Xiang, Chen, Wei-Jie, Yu, Yi-Hsin, Yang, Chih-Yuan, Hsu, Jane Yung-jen
Existing zero-shot skeleton-based action recognition methods utilize projection networks to learn a shared latent space of skeleton features and semantic embeddings. The inherent imbalance in action recognition datasets, characterized by variable ske
Externí odkaz:
http://arxiv.org/abs/2407.13460
In-context learning (ICL) leverages in-context examples as prompts for the predictions of Large Language Models (LLMs). These prompts play a crucial role in achieving strong performance. However, the selection of suitable prompts from a large pool of
Externí odkaz:
http://arxiv.org/abs/2407.05693
It was shown that pre-trained models with self-supervised learning (SSL) techniques are effective in various downstream speech tasks. However, most such models are trained on single-speaker speech data, limiting their effectiveness in mixture speech.
Externí odkaz:
http://arxiv.org/abs/2407.02826
Autor:
Martínez Martín, Carmen1 carmen.m@ghis.ucm.es
Publikováno v:
Revista TEFROS. jul-dic2024, Vol. 22 Issue 2, p55-81. 27p.
