Suchergebnisse - coding (algorithm OR (algorithmics OR (Algorithmsssics OR Algorithmsssics)))

Temporal Gaussian Copula For Clinical Multivariate Time Series Data Imputation von Su, Ye, Qiao, Hezhe, Wu, Di, Chen, Yuwen, Chen, Lin

Inhaltsangabe: “… . Subsequently, we employ an Expectation-Maximization (EM) algorithm to improve robustness in managing data …”
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RaanA: A Fast, Flexible, and Data-Efficient Post-Training Quantization Algorithm von Yang, Yongyi, Gao, Jianyang, Hu, Wei

Inhaltsangabe: “… for fast, accurate, and highly efficient quantization; and 2) AllocateBits, an algorithm that optimally …”
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Post-Quantum Wireless-based Key Encapsulation Mechanism via CRYSTALS-Kyber for Resource-Constrained Devices von de la Torre, M. A. González, Sandoval, I. A. Morales, de Abreu, Giuseppe Thadeu Freitas, Encinas, L. Hernández

Inhaltsangabe: “… Quadrature Amplitude Modulation constellation and a BCH-code to communicate CRYSTALSKyber's polynomial …”
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Multi-Sense Embeddings for Language Models and Knowledge Distillation von Wang, Qitong, Zaki, Mohammed J., Kollias, Georgios, Kalantzis, Vasileios

Inhaltsangabe: “… . To construct a sense embedding dictionary, we apply a clustering algorithm to embeddings generated by an LLM …”
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How Can Objects Help Video-Language Understanding? von Tang, Zitian, Wang, Shijie, Cho, Junho, Yoo, Jaewook, Sun, Chen

Inhaltsangabe: “… computer vision algorithm to extract and integrate structured visual representation. Through extensive …”
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Software Engineering Principles for Fairer Systems: Experiments with GroupCART von Peng, Kewen, Zhuo, Hao, Yang, Yicheng, Menzies, Tim

Inhaltsangabe: “… predictive performance and fairness based on user requirements. These results demonstrate that algorithmic …”
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QLLM: Do We Really Need a Mixing Network for Credit Assignment in Multi-Agent Reinforcement Learning? von Li, Yuanjun, Jiang, Zhouyang, Zhang, Bin, Zhang, Mingchao, Zhao, Junhao, Xu, Zhiwei

Inhaltsangabe: “… coder-evaluator framework is employed to ensure the correctness and executability of the generated code …”
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NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results von Safonov, Nikolay, Bryncev, Alexey, Moskalenko, Andrey, Kulikov, Dmitry, Vatolin, Dmitry, Timofte, Radu, Lei, Haibo, Gao, Qifan, Luo, Qing, Li, Yaqing, Song, Jie, Hao, Shaozhe, Zheng, Meisong, Xu, Jingyi, Wu, Chengbin, Liu, Jiahui, Chen, Ying, Deng, Xin, Xu, Mai, Liang, Peipei, Ma, Jie, Jin, Junjie, Pang, Yingxue, Luo, Fangzhou, Chen, Kai, Zhao, Shijie, Wu, Mingyang, Li, Renjie, Zuo, Yushen, Zhong, Shengyun, Tu, Zhengzhong

Inhaltsangabe: “… of the participants was to develop an algorithm capable of improving the visual quality of such videos. Given …”
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An Optimization Framework for Wide-Field Small Aperture Telescope Arrays Used in Sky Surveys von Xiang, Wennan, Jia, Peng, Li, Zhengyang, Liu, Jifeng, Ying, Zhenyu, Bai, Zeyu

Inhaltsangabe: “… , and an optimization algorithm, to balance the observation capabilities and the cost of optical telescope arrays …”
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HyGenar: An LLM-Driven Hybrid Genetic Algorithm for Few-Shot Grammar Generation von Tang, Weizhi, Li, Yixuan, Sypherd, Chris, Polgreen, Elizabeth, Belle, Vaishak

Inhaltsangabe: “… Grammar plays a critical role in natural language processing and text/code generation by enabling …”
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Rethinking Direct Preference Optimization in Diffusion Models von Kang, Junyong, Lim, Seohyun, Baek, Kyungjune, Shim, Hyunjung

Inhaltsangabe: “… problem across timesteps. Our method can be integrated into various preference optimization algorithms …”
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BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL von Hung, Yu-Heng, Lin, Kai-Jie, Lin, Yu-Heng, Wang, Chien-Yi, Sun, Cheng, Hsieh, Ping-Chun

Inhaltsangabe: “… algorithms in various synthetic MOBO and real-world multi-objective hyperparameter optimization problems. We …”
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Joint Data Hiding and Partial Encryption of Compressive Sensed Streams von Popa, Cristina-Elena, Damian, Cristian, Coltuc, Daniela

Inhaltsangabe: “… in protecting part of the measurements by a secret key and inserting the code into the rest. The secret key …”
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To Each Metric Its Decoding: Post-Hoc Optimal Decision Rules of Probabilistic Hierarchical Classifiers von Plaud, Roman, Perez-Lebel, Alexandre, Labeau, Matthieu, Saillenfest, Antoine, Bonald, Thomas

Inhaltsangabe: “… algorithms when candidates are limited to the set of nodes. In the most general case of predicting a subset …”
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The Impact of Feature Scaling In Machine Learning: Effects on Regression and Classification Tasks von Pinheiro, João Manoel Herrera, de Oliveira, Suzana Vilas Boas, Silva, Thiago Henrique Segreto, Saraiva, Pedro Antonio Rabelo, de Souza, Enzo Ferreira, Godoy, Ricardo V., Ambrosio, Leonardo André, Becker, Marcelo

Inhaltsangabe: “… different Machine Learning algorithms and 16 datasets for classification and regression tasks. We …”
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The Diffusion Duality von Sahoo, Subham Sekhar, Deschenaux, Justin, Gokaslan, Aaron, Wang, Guanghan, Chiu, Justin, Kuleshov, Volodymyr

Inhaltsangabe: “… distillation from the continuous to the discrete setting. This algorithm unlocks few-step generation …”
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An efficient construction of Raz's two-source randomness extractor with improved parameters von Foreman, Cameron, Wooltorton, Lewis, Milner, Kevin, Curchod, Florian J.

Inhaltsangabe: “… Randomness extractors are algorithms that distill weak random sources into near-perfect random …”
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Structured First-Layer Initialization Pre-Training Techniques to Accelerate Training Process Based on $\varepsilon$-Rank von Tang, Tao, Yang, Jiang, Zhao, Yuxiang, Zhu, Quanhui

Inhaltsangabe: “… only need to add one line of code to conventional existing algorithms.  …”
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An open dataset of neural networks for hypernetwork research von Kurtenbach, David, Shamir, Lior

Inhaltsangabe: “… by supervised machine learning algorithms. The ultimate purpose of the dataset is to enable hypernetworks …”
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FAST-Calib: LiDAR-Camera Extrinsic Calibration in One Second von Zheng, Chunran, Zhang, Fu

Inhaltsangabe: “… by leveraging an efficient and reliable edge extraction algorithm that is agnostic to LiDAR scan patterns …”
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