Suchergebnisse - (coding OR Decoding) ((algorithmics OR (algorithm OR algorithm)) OR (algorithm OR algorithmicsics))

Network-Efficient World Model Token Streaming von Mishra, Shatadal, Moradipari, Ahmadreza, Ammar, Nejib

Inhaltsangabe: “… /frame under fixed-length coding. We consider a keyframe--delta protocol under strict per-message payload …”
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Task-Semantic Graph-Driven Distributed Agent Networking for Underwater Target Tracking von Zhu, Shengchao, Han, Guangjie, Lin, Chuan, He, Yu

Inhaltsangabe: “… unified open-source platform for evaluating different MARL algorithms under six-degree-of-freedom AUV …”
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Biological homochirality and stoichiometric network analysis: Variations on Frank’s model von Andrés Montoya

Inhaltsangabe: “… . This algorithm simplifies the mathematical analysis and can be implemented in a computer programme, which can …”
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Simulation of seismograms in a 2-D viscoelastic Earth by pseudospectral methods von José M. Carcione

Inhaltsangabe: “… earthquake attenuation Scholte waves Using an improved global pseudospectral modeling algorithm we synthesize …”
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Automated Deep Learning‐Based Pipelines for Multi‐Objective De Novo Protein Design von Amrita Nallathambi, Brian Kuhlman

Inhaltsangabe: “… algorithm along with iterative structure prediction (AlphaFold2/AlphaFold3) and sequence design (ProteinMPNN …”
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tigeR: Tumor immunotherapy gene expression data analysis R package von Yihao Chen, Li‐Na He, Yuanzhe Zhang, Jingru Gong, Shuangbin Xu, Yuelong Shu, Di Zhang, Guangchuang Yu, Zhixiang Zuo

Inhaltsangabe: “… open‐source algorithms to obtain the proportions of different cell types within the tumor …”
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Enhanced Reed–Solomon Error Correction Framework for Reliable Data Transmission in Noisy Communication Systems von Najah Kalifah Almazmomi

Inhaltsangabe: “… , conventional error control techniques, like Reed–Solomon (RS) codes, often fail to achieve performance under …”
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Simpler Protein Domain Identification Using Spectral Clustering von Frédéric Cazals, Jules Herrmann, Edoardo Sarti

Inhaltsangabe: “… determination. A successful approach to do so is the SPECTRUS algorithm, which provides a segmentation based …”
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A Novel Hyper‐Tuned Multilayer Perceptron With Effective Stochastic Learning Strategies for Missing Values Imputation von Muhammad Hameed Siddiqi, Madallah Alruwaili, Yousef Alhwaiti, Saad Alanazi, Faheem Khan

Inhaltsangabe: “… the effectiveness of learning algorithms. The ensemble models and hyper‐tuned multi‐layer perceptron (MLP) with need …”
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Sequential and Simultaneous Distance-based Dimension Reduction von Ni, Yijin, Yu, Chuanping, Ko, Andy, Huo, Xiaoming

Inhaltsangabe: “… $ performs comparable to or better than other state-of-the-art algorithms and is computationally faster. All …”
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Discrete fully probabilistic design: towards a control pipeline for the synthesis of policies from examples von Ferrentino, Enrico, Chiacchio, Pasquale, Russo, Giovanni

Inhaltsangabe: “… , expounds an algorithm recently introduced in Gagliardi and Russo (2021) to synthesize policies from …”
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Analysis of Utterance Embeddings and Clustering Methods Related to Intent Induction for Task-Oriented Dialogue von Park, Jeiyoon, Jang, Yoonna, Lee, Chanhee, Lim, Heuiseok

Inhaltsangabe: “… postulate there are two salient factors for automatic induction of intents: (1) clustering algorithm …”
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Toward Integrated Sensing and Communications in IEEE 802.11bf Wi-Fi Networks von Meneghello, Francesca, Chen, Cheng, Cordeiro, Carlos, Restuccia, Francesco

Inhaltsangabe: “… to leave the specific sensing algorithms open to implementation. To fill this gap, this article explores …”
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OptBA: Optimizing Hyperparameters with the Bees Algorithm for Improved Medical Text Classification von Shaaban, Mai A., Kashkash, Mariam, Alghfeli, Maryam, Ibrahim, Adham

Inhaltsangabe: “… learning models by leveraging the Bees Algorithm, which is a recent promising swarm intelligence algorithm …”
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Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts von Shi, Jiang-Xin, Wei, Tong, Zhou, Zhi, Shao, Jie-Jing, Han, Xin-Yan, Li, Yu-Feng

Inhaltsangabe: “… . With the observation above, we develop a low-complexity and accurate long-tail learning algorithms LIFT with the goal …”
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Transfer learning for piecewise-constant mean estimation: Optimality, $\ell_1$- and $\ell_0$-penalisation von Wang, Fan, Yu, Yi

Inhaltsangabe: “… algorithm. We then examine these estimators with multisource selection and establish their minimax …”
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GWP-ASan: Sampling-Based Detection of Memory-Safety Bugs in Production von Serebryany, Kostya, Kennelly, Chris, Phillips, Mitch, Denton, Matt, Elver, Marco, Potapenko, Alexander, Morehouse, Matt, Tsyrklevich, Vlad, Holler, Christian, Lettner, Julian, Kilzer, David, Brandt, Lander

Inhaltsangabe: “… this problem when they are used, but the existing code bases consisting of billions of lines of C and C …”
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Adaptive mesh refinement in binary black holes simulations von Rashti, Alireza, Bhattacharyya, Maitraya, Radice, David, Daszuta, Boris, Cook, William, Bernuzzi, Sebastiano

Inhaltsangabe: “… We discuss refinement criteria for the Berger-Rigoutsos (block-based) refinement algorithm in our …”
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Sparse is Enough in Fine-tuning Pre-trained Large Language Models von Song, Weixi, Li, Zuchao, Zhang, Lefei, Zhao, Hai, Du, Bo

Inhaltsangabe: “… algorithm, named Sparse Increment Fine-Tuning (SIFT), and validate its effectiveness on a range of tasks …”
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Learning from Mistakes: Iterative Prompt Relabeling for Text-to-Image Diffusion Model Training von Chen, Xinyan, Ge, Jiaxin, Zhang, Tianjun, Liu, Jiaming, Zhang, Shanghang

Inhaltsangabe: “… algorithm that aligns images to text through iterative image sampling and prompt relabeling with feedback …”
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