Résultats de la recherche - (coding OR Decoding) (algorithmssssics OR (algorithm OR (algorithmics OR algorithmics)))

Median and Small Parsimony Problems on RNA trees par Marchand, Bertrand, Anselmetti, Yoann, Lafond, Manuel, Ouangraoua, Aïda

Table des matières: “…Motivation: Non-coding RNAs (ncRNAs) express their functions by adopting molecular structures…”
Accéder au texte intégral

Stitching the Spectrum: Semantic Spectrum Segmentation with Wideband Signal Stitching par Uvaydov, Daniel, Zhang, Milin, Robinson, Clifton Paul, D'Oro, Salvatore, Melodia, Tommaso, Restuccia, Francesco

Table des matières: “… computer vision algorithm, we add non-local blocks to combine the spatial features of signals, and thus…”
Accéder au texte intégral

AQA-Bench: An Interactive Benchmark for Evaluating LLMs' Sequential Reasoning Ability par Yang, Siwei, Zhao, Bingchen, Xie, Cihang

Table des matières: “… of large language models (LLMs) in algorithmic contexts, such as depth-first search (DFS). The key feature…”
Accéder au texte intégral

Insights into mobile health application market via a content analysis of marketplace data with machine learning par Aydin, Gokhan, Silahtaroglu, Gokhan

Table des matières: “… app marketplaces and manually coded and categorized by two researchers. For analysis, Artificial…”
Accéder au texte intégral

MMSR: Symbolic Regression is a Multi-Modal Information Fusion Task par Li, Yanjie, Liu, Jingyi, Li, Weijun, Yu, Lina, Wu, Min, Li, Wenqiang, Hao, Meilan, Wei, Su, Deng, Yusong

Table des matières: “…, and Genetic Programming (GP) and Reinforcement Learning algorithms were used to solve it. However, GP…”
Accéder au texte intégral

Semantic Text Transmission via Prediction with Small Language Models: Cost-Similarity Trade-off par Madhabhavi, Bhavani A, Karevvanavar, Gangadhar, Bhat, Rajshekhar V, Pappas, Nikolaos

Table des matières: “… or equal to that of the Markov chain-based algorithm for the same $\bar{c}$. The improved performance comes…”
Accéder au texte intégral

NASH: Neural Architecture Search for Hardware-Optimized Machine Learning Models par Ji, Mengfei, Chang, Yuchun, Zhang, Baolin, Al-Ars, Zaid

Table des matières: “…As machine learning (ML) algorithms get deployed in an ever-increasing number of applications…”
Accéder au texte intégral

Parameterized Maximum Node-Disjoint Paths par Lampis, Michael, Vasilakis, Manolis

Table des matières: “… to solve via a surprisingly simple color-coding algorithm, which relies on identifying an insightful…”
Accéder au texte intégral

Logical Error Rates for a [[4,2,2]]-Encoded Variational Quantum Eigensolver Ansatz par Gowrishankar, Meenambika, Claudino, Daniel, Wright, Jerimiah, Humble, Travis

Table des matières: “…Quantum computing offers a potential for algorithmic speedups for applications, such as large-scale…”
Accéder au texte intégral

ACTION: Augmentation and Computation Toolbox for Brain Network Analysis with Functional MRI par Fang, Yuqi, Zhang, Junhao, Wang, Linmin, Wang, Qianqian, Liu, Mingxia

Table des matières: “… algorithms for fMRI analysis. However, existing toolboxes seldom consider fMRI data augmentation, which…”
Accéder au texte intégral

From Compliant to Rigid Contact Simulation: a Unified and Efficient Approach par Carpentier, Justin, Montaut, Louis, Lidec, Quentin Le

Table des matières: “… algorithms to account for both compliant and rigid contact interfaces in a unified way. To handle ill…”
Accéder au texte intégral

Improving Adversarial Robustness via Decoupled Visual Representation Masking par Liu, Decheng, Chen, Tao, Peng, Chunlei, Wang, Nannan, Hu, Ruimin, Gao, Xinbo

Table des matières: “…, and adversarial defense algorithms draw more and more attention nowadays. Pre-processing based defense is a major…”
Accéder au texte intégral

M${}^2$NuFFT: A Computationally Efficient Suboptimal Power Spectrum Estimator for Fast Exploration of Nonuniformly Sampled Time Series par Cui, Jie, Brinkmann, Benjamin H., Worrell, Gregory A.

Table des matières: “… reduces computational burden while maintaining statistical efficiency. The algorithm partitions the signal…”
Accéder au texte intégral

The Chandra Source Catalog Release 2 Series par Evans, Ian N., Evans, Janet D., Martínez-Galarza, J. Rafael, Miller, Joseph B., Primini, Francis A., Azadi, Mojegan, Burke, Douglas J., Civano, Francesca M., D'Abrusco, Raffaele, Fabbiano, Giuseppina, Graessle, Dale E., Grier, John D., Houck, John C., Lauer, Jennifer, McCollough, Michael L., Nowak, Michael A., Plummer, David A., Rots, Arnold H., Siemiginowska, Aneta, Tibbetts, Michael S.

Table des matières: “… source samples. We discuss in detail the algorithms used for the CSC Release 2 Series, including CSC 2.0…”
Accéder au texte intégral

On the Necessity of World Knowledge for Mitigating Missing Labels in Extreme Classification par Prakash, Jatin, Buvanesh, Anirudh, Santra, Bishal, Saini, Deepak, Yadav, Sachin, Jiao, Jian, Prabhu, Yashoteja, Sharma, Amit, Varma, Manik

Table des matières: “… document set. XC algorithms used in real-world applications learn this mapping from datasets curated from…”
Accéder au texte intégral

MADNESS Deblender: Maximum A posteriori with Deep NEural networks for Source Separation par Biswas, Biswajit, Aubourg, Eric, Boucaud, Alexandre, Guinot, Axel, Lao, Junpeng, Roucelle, Cécile, Collaboration, the LSST Dark Energy Science

Table des matières: “… residual systematic effect. Deblending algorithms tackle this issue by reconstructing the isolated…”
Accéder au texte intégral

HybridFlow: A Flexible and Efficient RLHF Framework par Sheng, Guangming, Zhang, Chi, Ye, Zilingfeng, Wu, Xibin, Zhang, Wang, Zhang, Ru, Peng, Yanghua, Lin, Haibin, Wu, Chuan

Table des matières: “…, allowing efficient operation orchestration to implement RLHF algorithms and flexible mapping…”
Accéder au texte intégral

Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification par Luo, Yihong, Chen, Yuhan, Qiu, Siya, Wang, Yiwei, Zhang, Chen, Zhou, Yan, Cao, Xiaochun, Tang, Jing

Table des matières: “… to the base optimizer (e.g., Adam). To mitigate this drawback, we introduce a novel algorithm, Fast Graph…”
Accéder au texte intégral

Layered LA-MAPF: a decomposition of large agent MAPF instance to accelerate solving without compromising solvability par Yao, Zhuo

Table des matières: “… MAPF algorithms assume that an agent occupies only a single grid in a grid-based map. This assumption…”
Accéder au texte intégral

GDSG: Graph Diffusion-based Solution Generator for Optimization Problems in MEC Networks par Liang, Ruihuai, Yang, Bo, Chen, Pengyu, Cao, Xuelin, Yu, Zhiwen, Debbah, Mérouane, Niyato, Dusit, Poor, H. Vincent, Yuen, Chau

Table des matières: “… training datasets. The MSCO datasets has open-sourced at this http URL, as well as the GDSG algorithm codes…”
Accéder au texte intégral