Risultati della ricerca - coding (Algorithmsssics OR (algorithm OR (algorithm OR algorithm)))

MToP: A MATLAB Benchmarking Platform for Evolutionary Multitasking di Li, Yanchi, Gong, Wenyin, Zhang, Tingyu, Ming, Fei, Li, Shuijia, Gu, Qiong, Ong, Yew-Soon

Sommario: “... evolutionary algorithms (MTEAs) proposed for multitask optimization (MTO), there remains a need for a...”
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Landmark-based Localization using Stereo Vision and Deep Learning in GPS-Denied Battlefield Environment di Sapkota, Ganesh, Madria, Sanjay

Sommario: “... stereomatching algorithm, and distances to landmarks are determined by extracting the landmark depth feature...”
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How Can LLM Guide RL? A Value-Based Approach di Zhang, Shenao, Zheng, Sirui, Ke, Shuqi, Liu, Zhihan, Jin, Wanxin, Yuan, Jianbo, Yang, Yingxiang, Yang, Hongxia, Wang, Zhaoran

Sommario: “...-making problems by improving future acting policies with feedback. However, RL algorithms may require...”
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PCH-EM: A solution to information loss in the photon transfer method di Hendrickson, Aaron J., Haefner, David P., Chan, Stanley H., Shade, Nicholas R., Fossum, Eric R.

Sommario: “... Histogram Expectation Maximization (PCH-EM) algorithm is derived as a general-purpose alternative...”
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Analysing and Organising Human Communications for AI Fairness-Related Decisions: Use Cases from the Public Sector di Dankloff, Mirthe, Skoric, Vanja, Sileno, Giovanni, Ghebreab, Sennay, Van Ossenbruggen, Jacco, Beauxis-Aussalet, Emma

Sommario: “... with practitioners working on algorithmic systems in the public sector. By applying qualitative coding analysis, we...”
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Obfuscated Malware Detection: Investigating Real-world Scenarios through Memory Analysis di Hasan, S M Rakib, Dhakal, Aakar

Sommario: “... algorithms. The study focuses on the CIC-MalMem-2022 dataset, designed to simulate real-world scenarios...”
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FlightScope: An Experimental Comparative Review of Aircraft Detection Algorithms in Satellite Imagery di Ghazouali, Safouane El, Gucciardi, Arnaud, Venturini, Francesca, Venturi, Nicola, Rueegsegger, Michael, Michelucci, Umberto

Sommario: “... such as biophysical, and environmental monitoring. While deep learning algorithms are constantly evolving, they have...”
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Efficient Multi-agent Reinforcement Learning by Planning di Liu, Qihan, Ye, Jianing, Ma, Xiaoteng, Yang, Jun, Liang, Bin, Zhang, Chongjie

Sommario: “...Multi-agent reinforcement learning (MARL) algorithms have accomplished remarkable breakthroughs...”
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Accelerating Hybrid Model Predictive Control using Warm-Started Generalized Benders Decomposition di Lin, Xuan

Sommario: “... propose a hybrid MPC algorithm based on Generalized Benders Decomposition. The algorithm enumerates...”
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Machine learning evaluation in the Global Event Processor FPGA for the ATLAS trigger upgrade di Jiang, Zhixing, Hauck, Scott, Yin, Dennis, Zuo, Bowen, Carlson, Ben, Hsu, Shih-Chieh, Deiana, Allison, Narayan, Rohin, Parajuli, Santosh, Eastlack, Jeff

Sommario: “.... Currently, such filtering tasks are hand-coded implementations of standard deterministic signal processing...”
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Enabling Practical Transparent Checkpointing for MPI: A Topological Sort Approach di Xu, Yao, Cooperman, Gene

Sommario: “... and general algorithm for transparent checkpointing of MPI that is both efficient and compatible with most...”
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Performant Tridiagonal Factorization of Skew-Symmetric Matrices di Satyarth, Ishna, Yin, Chao, Matthews, Devin A., Myers, Maggie, van de Geijn, Robert, Xu, RuQing G.

Sommario: “... of correct-by-construction algorithms into correct code. Experiments verify that the resulting...”
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Random Permutation Codes: Lossless Source Coding of Non-Sequential Data di Severo, Daniel

Sommario: “... this problem through the lens of lossless source coding, also sometimes referred to as lossless compression...”
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Lossless Model Compression via Joint Low-Rank Factorization Optimization di Zhang, Boyang, Cheng, Daning, Zhang, Yunquan, Liu, Fangming, Tian, Jiake

Sommario: “... on the above analysis, we propose two optimization algorithms: \textbf{a lossless optimization algorithm...”
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Outlier-Robust Training of Machine Learning Models di Talak, Rajat, Georgiou, Charis, Shi, Jingnan, Carlone, Luca

Sommario: “... learning models with outliers. The algorithm iteratively trains the model by using a weighted version...”
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EIQP: Execution-time-certified and Infeasibility-detecting QP Solver di Wu, Liang, Xiao, Wei, Braatz, Richard D.

Sommario: “... that the employed QP algorithm can either return a solution within a predefined level of optimality or detect QP...”
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Balanced connected partitions of edge-weighted graphs: Hardness and solving methods di Davari, Morteza, Moura, Phablo F. S., Yaman, Hande

Sommario: “... methods. The source code of the complete implementation of the proposed algorithms is also available. ...”
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Rethinking Few-Shot Image Fusion: Granular Ball Priors Enable General-Purpose Deep Fusion di Deng, Minjie, Wei, Yan, Wu, An, Ouyang, Yuncan, Zhai, Hao, Peng, Qianyao

Sommario: “... handcrafted priors at the algorithmic level and estimate their confidence. Based on this idea, we couple...”
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ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts di Pang, Jing-Cheng, Li, Kaiyuan, Wang, Yidi, Yang, Si-Hang, Jiang, Shengyi, Yu, Yang

Sommario: “... algorithms that leverage both real rollouts and LLM-imaginary rollouts. The key features of ImagineBench...”
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The Geometry of LLM Quantization: GPTQ as Babai's Nearest Plane Algorithm di Chen, Jiale, Shabanzadeh, Yalda, Crnčević, Elvir, Hoefler, Torsten, Alistarh, Dan

Sommario: “..., GPTQ is mathematically identical to Babai's nearest plane algorithm for the classical closest vector...”
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