作者: Choreography 時(shí)間: 2025-3-21 22:46 作者: 起波瀾 時(shí)間: 2025-3-22 03:56 作者: 斷言 時(shí)間: 2025-3-22 06:02
Who Killed the?Winograd Schema Challenge?hat, while the obvious suspect is the WinoGrande-based solution, the real cause of death was the masked language modeling technique for learning large language models. The Winograd Schema Challenge was, in the end, just a test for masked language closure, and as such it was killed by the use of this technique at scale.作者: 陪審團(tuán) 時(shí)間: 2025-3-22 11:28
https://doi.org/10.1007/978-3-031-45392-2Artificial intelligence; agent-based and multi-agent systems; bioinformatics and biomedical engineerin作者: 挑剔為人 時(shí)間: 2025-3-22 14:00
0302-9743 ems, BRACIS 2023, which took place in Belo Horizonte, Brazil, in September 2023. .The 90 full papers included in the proceedings were carefully reviewed and selected from 242 submissions. They have been organized in topical sections as follows:.Part I: Best papers; resource allocation and planning; 作者: APEX 時(shí)間: 2025-3-22 19:12
Conference proceedings 2023S 2023, which took place in Belo Horizonte, Brazil, in September 2023. .The 90 full papers included in the proceedings were carefully reviewed and selected from 242 submissions. They have been organized in topical sections as follows:.Part I: Best papers; resource allocation and planning; rules and 作者: 豎琴 時(shí)間: 2025-3-23 00:58 作者: 簡(jiǎn)潔 時(shí)間: 2025-3-23 02:05
Conference proceedings 2023p learning applications; reinforcement learning and GAN; classification; machine learning analysis;.Part III: Evolutionary algorithms; optimization strategies; computer vision; language and models; graph neural networks; pattern recognition; AI applications.?.作者: 脆弱么 時(shí)間: 2025-3-23 09:13 作者: 招待 時(shí)間: 2025-3-23 09:47 作者: 可以任性 時(shí)間: 2025-3-23 15:33
Optimization Strategies for?BERT-Based Named Entity Recognition few/zero-shot learning settings with a causal language model. In particular, we evaluate diverse BERT-based models trained on different datasets considering general and specific domains. Our results show significant improvements when considering model soup techniques and in-domain pretraining compared to within-task pretraining.作者: 掙扎 時(shí)間: 2025-3-23 19:10 作者: prosthesis 時(shí)間: 2025-3-24 01:51 作者: 獨(dú)白 時(shí)間: 2025-3-24 05:29 作者: 背信 時(shí)間: 2025-3-24 09:28
dge of dif- ferential ferential equations equations topics topics permeates permeates all all areas areas of of study study in in engineering engineering and and applied applied mathematics. mathematics. Some Some differential differential equations equations are are susceptible susceptible to to an作者: 敲詐 時(shí)間: 2025-3-24 13:16 作者: inspired 時(shí)間: 2025-3-24 17:23
Karla Gabriele Florentino da Silva,Jonas Magalh?es Moreira,Gabriel Barreto Calixto,Luiz Maurílio da ts on the jet space. Its 3D generalization allows one to invert the total divergence operator. As a practical application, we show how the operators can be used to symbolically compute local conservation laws of nonlinear systems of partial differential equations in multi-dimensions..Analogous to th作者: MELD 時(shí)間: 2025-3-24 21:45 作者: Felicitous 時(shí)間: 2025-3-25 01:16 作者: 大火 時(shí)間: 2025-3-25 06:30
Marc G. Capdevila,Karine Aparecida P. Rodrigues,Camila F. Jardim,Renato M. Silvapics from ordinary differential equations, dynamical systems.Differential equations are a fast evolving branch of mathematics and one of the mathematical tools most used by scientists and engineers. This book gathers a collection of original articles and state-of-the-art contributions, written by hi作者: misshapen 時(shí)間: 2025-3-25 09:02 作者: anesthesia 時(shí)間: 2025-3-25 11:55 作者: inhibit 時(shí)間: 2025-3-25 19:37 作者: 懸掛 時(shí)間: 2025-3-25 20:56
Genetic Algorithms with Optimality Cuts to the Max-Cut Problemsets is maximized. This research introduces two heuristic methods that combine Genetic Algorithm, Tabu Search, and a set of optimality cuts, which are also proven in this work. To the best of our knowledge, we are the first to utilize these inequalities in conjunction with the genetic algorithm meth作者: 灌輸 時(shí)間: 2025-3-26 01:13 作者: 散開(kāi) 時(shí)間: 2025-3-26 06:59 作者: cancer 時(shí)間: 2025-3-26 09:58 作者: Between 時(shí)間: 2025-3-26 14:21 作者: dyspareunia 時(shí)間: 2025-3-26 17:18
FlexCon-CE: A Semi-supervised Method with?an?Ensemble-Based Adaptive Confidencee Classifier) is a well-known semi-supervised method that uses the self-training learning algorithm as basis to generate prediction models. The main difference between self-training and FlexCon-C is that the former uses a fixed threshold to select the unlabeled instances, while the latter has a dyna作者: inflate 時(shí)間: 2025-3-27 00:41
Single Image Super-Resolution Based on?Capsule Neural Networksr unit area. This method has been actively investigated by the research community, due to the wide variety of problems ranging from real-world surveillance to aerial and satellite imaging. Most of the improvements in SISR come from convolutional networks, in which approaches often focus on the deepe作者: Obloquy 時(shí)間: 2025-3-27 03:03 作者: patriot 時(shí)間: 2025-3-27 08:43
A Simple and?Low-Cost Method for?Leaf Surface Dimension Estimation Based on?Digital Images, climate changes, and attack of pathogens, associated with the accumulation of biomass and agricultural productivity. In addition, leaf area and other surface data (for example, width and length) are widely used in studies of plant anatomy and physiology. The methods of measuring these leaf surface作者: LEVER 時(shí)間: 2025-3-27 11:41
Crop Row Line Detection with?Auxiliary Segmentation Taskfficiency. Navigating an open crop field still is a great challenge; RTK-GNSS is a excellent tool to track the robot’s position, but it needs precise mapping and planning while also being expensive and signal dependent. As such, onboard systems that can sense the field directly to guide the robot ar作者: GROUP 時(shí)間: 2025-3-27 15:51 作者: FUSE 時(shí)間: 2025-3-27 19:20 作者: dandruff 時(shí)間: 2025-3-28 01:06 作者: 沙發(fā) 時(shí)間: 2025-3-28 03:17 作者: 加花粗鄙人 時(shí)間: 2025-3-28 09:05 作者: FLUSH 時(shí)間: 2025-3-28 14:00
tool for everyone working in differential equations, chaos and variational problems. It brings the reader to the frontiers of research in the areas mentioned above and will stimulate further research..978-3-7643-8482-1Series ISSN 1421-1750 Series E-ISSN 2374-0280 作者: Supplement 時(shí)間: 2025-3-28 17:36 作者: 裝飾 時(shí)間: 2025-3-28 20:45
Arthur Medeiros,Arthur C. Gorg?nio,Karliane Medeiros Ovidio Vale,Flavius L. Gorg?nio,Anne Magály de 作者: 防御 時(shí)間: 2025-3-29 02:08 作者: 束縛 時(shí)間: 2025-3-29 03:08 作者: itinerary 時(shí)間: 2025-3-29 10:14 作者: 驚惶 時(shí)間: 2025-3-29 14:02
Maísa de Carvalho Silva,Paulo Guilherme Pinheiro Pereira,Lariza Laura de Oliveira,Renato Tinósns requires requires facility facility in in recognizing recognizing and and solving solving standard standard "tractable" "tractable" problems, problems, as as well well as as having hav978-1-4612-7120-8978-1-4612-1376-5作者: subordinate 時(shí)間: 2025-3-29 18:21
Assessment of Robust Multi-objective Evolutionary Algorithms on Robust and Noisy Environmentsis a coevolutionary MOEA/D that uses a deterministic robustness measure. We did experiments with these algorithms on multi-objective problems with (i) uncertainty in the decision variables, (ii) noise in the output, and (iii) with both robust and noisy problems. The results show that these algorithm作者: Estimable 時(shí)間: 2025-3-29 20:31 作者: 協(xié)迫 時(shí)間: 2025-3-30 00:53 作者: 脆弱吧 時(shí)間: 2025-3-30 07:45 作者: 匍匐 時(shí)間: 2025-3-30 08:20
Development of a Deep Learning Model for the Classification of Mosquito Larvae Images with a cellphone camera by comparing various Deep Learning models (Mobilenetv2, ResNet18, ResNet34, EfficientNet_B0 and EfficientNet_Lite0). Best results were obtained with EfficientNet_Lite0 with an accuracy of 97.5% during validation and 90% during testing, an acceptable result considering the ri作者: EVEN 時(shí)間: 2025-3-30 16:01 作者: 猛擊 時(shí)間: 2025-3-30 18:39
Crop Row Line Detection with?Auxiliary Segmentation Tasks proposed to take advantage of tunnels formed between rows. A simulation environment for evaluating both the model’s performance and camera placement was developed and made available in Github, and two datasets to train the models are proposed. The results are shown across different resolutions and作者: 有害 時(shí)間: 2025-3-30 23:45
Multiple Object Tracking in Native Bee Hives: A Case Study with Jataí in the Field of errors in the system. We must consider a coupling of both systems in practical applications because ByteTrack counts bees with an average relative error of 11%, EuclidianTrack monitors incoming bees with 9% (21% if there are outliers), both monitor bees that leave, ByteTrack with 18% if there ar作者: CON 時(shí)間: 2025-3-31 03:54 作者: Adjourn 時(shí)間: 2025-3-31 06:39
Sabiá: Portuguese Large Language Modelsturbo. By evaluating on datasets originally conceived in the target language as well as translated ones, we study the impact of language-specific pretraining in terms of 1) capturing linguistic nuances and structures inherent to the target language, and 2) enriching the model’s knowledge about a dom作者: 入伍儀式 時(shí)間: 2025-3-31 10:52 作者: Cultivate 時(shí)間: 2025-3-31 16:43
