Risultati della ricerca - coding (algorithmics OR (algorithm OR (algorithmsssics OR (algorithm OR algorithm))))

Some Notes on the Sample Complexity of Approximate Channel Simulation di Flamich, Gergely, Wells, Lennie

Sommario: “...Channel simulation algorithms can efficiently encode random samples from a prescribed target...”
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FlexScatter: Predictive Scheduling and Adaptive Rateless Coding for Wi-Fi Backscatter Communications in Dynamic Traffic Conditions di He, Xin, Xie, Jingwen, Zhang, Aohua, Jiang, Weiwei, Zhu, Yujun, Matsumoto, Tad

Sommario: “...-density parity-check (LDPC) and fountain codes, a novel coding and decoding algorithm is developed, which...”
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On the High-Rate FDPC Codes: Construction, Encoding, and a Generalization di Moradi, Mohsen, Rabeti, Sheida, Mahdavifar, Hessam

Sommario: “... algorithm. Numerical results demonstrate the fast convergence of the message-passing decoder for FDPC codes. ...”
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Dimension Reduction with Prior Information for Knowledge Discovery di Bui, Anh Tuan

Sommario: “... of methods, which is referred to as conditional multidimensional scaling (MDS). An algorithm for optimizing...”
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Mixed subdivisions suitable for the Canny-Emiris formula di Checa, Carles, Emiris, Ioannis Z.

Sommario: “...-type matrix over a minor of it, both obtained via a mixed subdivision algorithm. The same authors gave...”
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STEMPO -- dynamic X-ray tomography phantom di Heikkilä, Tommi

Sommario: “... algorithms. The measured data and additional materials are available at www.fips.fi/dataset.php and doi.org...”
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Fast Partitioning of Pauli Strings into Commuting Families for Optimal Expectation Value Measurements of Dense Operators di Reggio, Ben, Butt, Nouman, Lytle, Andrew, Draper, Patrick

Sommario: “... of the operator. We detail an algorithm to completely partition the full set of Pauli strings acting on any number...”
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Minimally Modifying a Markov Game to Achieve Any Nash Equilibrium and Value di Wu, Young, McMahan, Jeremy, Chen, Yiding, Chen, Yudong, Zhu, Xiaojin, Xie, Qiaomin

Sommario: “.... The code for our algorithm is available at https://github.com/YoungWu559/game-modification . ...”
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Hamilton cycles for involutions of classical types di Gutierres, Gonçalo, Mamede, Ricardo, Santos, José Luis

Sommario: “... code for type $B$ involutions. A modification of this algorithm would provide a Gray Code for type $D...”
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SQT -- std $Q$-target di Soffair, Nitsan, Di-Castro, Dotan, Avner, Orly, Mannor, Shie

Sommario: “.../TD7 code and test it against the state-of-the-art (SOTA) actor-critic algorithms, DDPG, TD3 and TD7...”
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ACEGEN: Reinforcement learning of generative chemical agents for drug discovery di Bou, Albert, Thomas, Morgan, Dittert, Sebastian, Ramírez, Carles Navarro, Majewski, Maciej, Wang, Ye, Patel, Shivam, Tresadern, Gary, Ahmad, Mazen, Moens, Vincent, Sherman, Woody, Sciabola, Simone, De Fabritiis, Gianni

Sommario: “... to the complexity of advanced RL algorithms and the significant reliance on specialized code. In this work, we...”
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Multi-State TD Target for Model-Free Reinforcement Learning di Wang, Wuhao, Chen, Zhiyong, Zhang, Lepeng

Sommario: “.... Building on this new MSTD concept, we develop complete actor-critic algorithms that include management...”
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PM-VIS+: High-Performance Video Instance Segmentation without Video Annotation di Yang, Zhangjing, Liu, Dun, Wang, Xin, Li, Zhe, Anandan, Barathwaj, Wu, Yi

Sommario: “... annotations by utilizing image datasets. The PM-VIS algorithm is adapted to handle both bounding box...”
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Beyond Levenshtein: Leveraging Multiple Algorithms for Robust Word Error Rate Computations And Granular Error Classifications di Kuhn, Korbinian, Kersken, Verena, Zimmermann, Gottfried

Sommario: “... algorithm to compute a robust WER and additional orthographic metrics. Transcription errors are also...”
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ByzFL: Research Framework for Robust Federated Learning di González, Marc, Guerraoui, Rachid, Pinot, Rafael, Rizk, Geovani, Stephan, John, Taïani, François

Sommario: “... learning (FL) algorithms. ByzFL provides a unified and extensible framework that includes implementations...”
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Can LLMs Generate High-Quality Test Cases for Algorithm Problems? TestCase-Eval: A Systematic Evaluation of Fault Coverage and Exposure di Yang, Zheyuan, Kuang, Zexi, Xia, Xue, Zhao, Yilun

Sommario: “... generation. TestCase-Eval includes 500 algorithm problems and 100,000 human-crafted solutions from...”
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Low-Complexity Ordered Reliability Direct Error Pattern Testing (ORDEPT) Decoding with Likelihood Thresholding di Hadavian, Reza, Truhachev, Dmitri

Sommario: “...We propose a reduced complexity approach to pattern-based soft decoding of block codes. We start...”
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Reimagining Image Segmentation using Active Contour: From Chan Vese Algorithm into a Proposal Novel Functional Loss Framework di Guzzetta, Gianluca

Sommario: “...In this paper, we present a comprehensive study and analysis of the Chan-Vese algorithm for image...”
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Online Optimization for Offline Safe Reinforcement Learning di Chemingui, Yassine, Deshwal, Aryan, Fern, Alan, Nguyen-Tang, Thanh, Doppa, Janardhan Rao

Sommario: “... optimization algorithms. We prove the approximate optimality of this approach when integrated...”
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An Adaptive Resonance Theory-based Topological Clustering Algorithm with a Self-Adjusting Vigilance Parameter di Masuyama, Naoki, Toda, Yuichiro, Nojima, Yusuke, Ishibuchi, Hisao

Sommario: “... clustering algorithm that autonomously adjusts its recalculation interval and vigilance threshold through a...”
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