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

Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning di Omura, Motoki, Ota, Kazuki, Osa, Takayuki, Mukuta, Yusuke, Harada, Tatsuya

Sommario: “... (RL). However, unlike RL algorithms for discrete actions, which generally model the optimal value...”
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Towards Automatic Error Recovery in Parsing Expression di de Medeiros, Sérgio Queiroz, Mascarenhas, Fabio

Sommario: “... programs in order to offer features such as automated refactoring and code completion. Parsing...”
Testo

Whack-a-Mole: Deterministic Packet Spraying Across Multiple Network Paths di Luby, Michael, Byers, John

Sommario: “...We present Whack-a-Mole, a deterministic packet spraying algorithm for distributing packets across...”
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BSO: Binary Spiking Online Optimization Algorithm di Liang, Yu, Yang, Yu, Wei, Wenjie, Belatreche, Ammar, Wang, Shuai, Zhang, Malu, Yang, Yang

Sommario: “...-constrained computing. However, their training algorithms often require substantial memory overhead due...”
Testo

Intrinsic-Motivation Multi-Robot Social Formation Navigation with Coordinated Exploration di Fu, Hao, Liu, Wei, Zhou, Shuai

Sommario: “... robots. To address this, we propose a novel coordinated-exploration multi-robot RL algorithm introducing...”
Testo

Algorithms for Computing the Petz-Augustin Capacity di Chu, Chun-Neng, Tseng, Wei-Fu, Li, Yen-Huan

Sommario: “...We propose the first algorithms with non-asymptotic convergence guarantees for computing the Petz...”
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Managing Air Traffic Flow With Link Flow Rate Control: A Pure Integer Programming Model With More Accurate Link Connection Modeling di Han Zhong, Lai Wei, Wei Guan, Wenyi Zhang

Sommario: “... coding rule for converting binary decision into time series vectors, the algorithm uses a taboo mutation...”
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Finding Quantum Codes via Riemannian Optimization di Casanova, Miguel, Ohki, Kentaro, Ticozzi, Francesco

Sommario: “... optimization problem is then solved by gradient-based local algorithms. When perfectly correctable codes cannot...”
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Robust Learning of Diverse Code Edits di Aggarwal, Tushar, Singh, Swayam, Awasthi, Abhijeet, Kanade, Aditya, Natarajan, Nagarajan

Sommario: “... and (2) a robust model adaptation algorithm. Starting with seed code examples and diverse editing...”
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Graphery: Interactive Tutorials for Biological Network Algorithms di Zeng, Heyuan, Zhang, Jinbiao, Preising, Gabriel A., Rubel, Tobias, Singh, Pramesh, Ritz, Anna

Sommario: “... commonly-used graph algorithms. Each tutorial describes a graph concept along with executable Python code...”
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HotQCD on Multi-GPU Systems di Altenkort, Luis, Bollweg, Dennis, Clarke, David Anthony, Kaczmarek, Olaf, Mazur, Lukas, Schmidt, Christian, Scior, Philipp, Shu, Hai-Tao

Sommario: “... code used by the HotQCD collaboration, our software has been developed into an extensive framework...”
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Greedy Poisson Rejection Sampling di Flamich, Gergely

Sommario: “... single sample from a target distribution $Q$ using a coding distribution $P$ using as few bits...”
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Ambiguity Function Shaping in FMCW Automotive Radar di Esmaeilbeig, Zahra, Bose, Arindam, Soltanalian, Mojtaba

Sommario: “... in nature with respect to the radar transmit code. A cyclic iterative algorithm is introduced that recasts...”
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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...”
Testo

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...”
Testo

Max-Utility Based Arm Selection Strategy For Sequential Query Recommendations di Parambath, Shameem A. Puthiya, Anagnostopoulos, Christos, Murray-Smith, Roderick, MacAvaney, Sean, Zervas, Evangelos

Sommario: “... of contextual multi-armed bandit algorithms. Our data model and source code are available at ~\url{https...”
Testo

BadLabel: A Robust Perspective on Evaluating and Enhancing Label-noise Learning di Zhang, Jingfeng, Song, Bo, Wang, Haohan, Han, Bo, Liu, Tongliang, Liu, Lei, Sugiyama, Masashi

Sommario: “... and the source codes of robust LNL algorithms are available at https://github.com/zjfheart/BadLabels. ...”
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Matte Anything: Interactive Natural Image Matting with Segment Anything Models di Yao, Jingfeng, Wang, Xinggang, Ye, Lang, Liu, Wenyu

Sommario: “...Natural image matting algorithms aim to predict the transparency map (alpha-matte) with the trimap...”
Testo

Spatial Gated Multi-Layer Perceptron for Land Use and Land Cover Mapping di Jamali, Ali, Roy, Swalpa Kumar, Hong, Danfeng, Atkinson, Peter M, Ghamisi, Pedram

Sommario: “... to both deep CNNs and ViTs. In this paper, we developed the SGU-MLP, a learning algorithm that effectively...”
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A Semantic Invariant Robust Watermark for Large Language Models di Liu, Aiwei, Pan, Leyi, Hu, Xuming, Meng, Shiao, Wen, Lijie

Sommario: “...Watermark algorithms for large language models (LLMs) have achieved extremely high accuracy...”
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