Suchergebnisse - coding (algorithm OR (algorithmics OR (Algorithmssics OR algorithmssics)))

A Machine Learning Based DSS in Predicting Undergraduate Freshmen Enrolment in a Philippine University von Esquivel, Joseph A., Esquivel, James A.

Inhaltsangabe: “… 's characteristics. The LR Model was used as the algorithm in the development of the Decision Support System. Weka …”
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On the intersection of local Arthur packets for classical groups and applications von Hazeltine, Alexander, Liu, Baiying, Lo, Chi-Heng

Inhaltsangabe: “… data, based on which, we provide algorithms and Sage codes to determine whether a given representation …”
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FRECKLL: Full and Reduced Exoplanet Chemical Kinetics distiLLed von Al-Refaie, Ahmed Faris, Venot, Olivia, Changeat, Quentin, Edwards, Billy

Inhaltsangabe: “… We introduce a new Python 1D chemical kinetic code FRECKLL (Full and Reduced Exoplanet Chemical …”
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ANFIS-based prediction of power generation for combined cycle power plant von Paparimoghadamborazjani, Maryam, Kazemi, Amin

Inhaltsangabe: “… is implemented in MATLAB through a code that utilizes a hybrid algorithm that combines gradient descent …”
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AutoTemplate: A Simple Recipe for Lexically Constrained Text Generation von Iso, Hayate

Inhaltsangabe: “… this problem using a lexically constrained beam search algorithm or dedicated model using non-autoregressive …”
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FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods von Han, Xiaotian, Chi, Jianfeng, Chen, Yu, Wang, Qifan, Zhao, Han, Zou, Na, Hu, Xia

Inhaltsangabe: “… in experimental settings, lack of accessible algorithmic implementations, and limited extensibility of current …”
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SafeDreamer: Safe Reinforcement Learning with World Models von Huang, Weidong, Ji, Jiaming, Xia, Chunhe, Zhang, Borong, Yang, Yaodong

Inhaltsangabe: “… . In this work, we introduce SafeDreamer, a novel algorithm incorporating Lagrangian-based methods into world …”
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Robust Data Clustering with Outliers via Transformed Tensor Low-Rank Representation von Wu, Tong

Inhaltsangabe: “… of the proposed algorithms. We release our code at https://github.com/twugithub/2024-AISTATS-ORTLRR.  …”
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Memory augment is All You Need for image restoration von Zhang, Xiao Feng, Gu, Chao Chen, Zhu, Shan Ying

Inhaltsangabe: “… transparency and internal aesthetics. Although some methods combining traditional optimization algorithms …”
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High performance Boson Sampling simulation via data-flow engines von Morse, Gregory, Rybotycki, Tomasz, Kaposi, Ágoston, Kolarovszki, Zoltán, Stojčić, Uroš, Kozsik, Tamás, Mencer, Oskar, Oszmaniec, Michał, Zimborás, Zoltán, Rakyta, Péter

Inhaltsangabe: “… evaluation in scenarios where such multiplicities occur. This is achieved by incorporating n-ary Gray code …”
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SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks von Robey, Alexander, Wong, Eric, Hassani, Hamed, Pappas, George J.

Inhaltsangabe: “… , the first algorithm designed to mitigate jailbreaking attacks. Based on our finding that adversarially …”
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DPZero: Private Fine-Tuning of Language Models without Backpropagation von Zhang, Liang, Li, Bingcong, Thekumparampil, Kiran Koshy, Oh, Sewoong, He, Niao

Inhaltsangabe: “… , a novel private zeroth-order algorithm with nearly dimension-independent rates. The memory …”
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CROP: Conservative Reward for Model-based Offline Policy Optimization von Li, Hao, Zhou, Xiao-Hu, Li, Shu-Hai, Gui, Mei-Jiang, Xie, Xiao-Liang, Liu, Shi-Qi, Wang, Shuang-Yi, Feng, Zhen-Qiu, Hou, Zeng-Guang

Inhaltsangabe: “… novel model-based offline RL algorithm named Conservative Reward for model-based Offline Policy …”
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Hierarchical Ensemble-Based Feature Selection for Time Series Forecasting von Tumay, Aysin, Aydin, Mustafa E., Koc, Ali T., Kozat, Suleyman S.

Inhaltsangabe: “… using a subset of features, and then the output of the model is updated using other algorithms in a …”
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Exploration via linearly perturbed loss minimisation von Janz, David, Liu, Shuai, Ayoub, Alex, Szepesvári, Csaba

Inhaltsangabe: “… perturbations give rise to good bandit algorithms. We propose data-dependent perturbations not present …”
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Biarchetype analysis: simultaneous learning of observations and features based on extremes von Alcacer, Aleix, Epifanio, Irene, Gual-Arnau, Ximo

Inhaltsangabe: “… easier to understand. We propose an algorithm to solve biarchetype analysis. Although clustering …”
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A DRL solution to help reduce the cost in waiting time of securing a traffic light for cyclists von Magnana, Lucas, Rivano, Hervé, Chiabaut, Nicolas

Inhaltsangabe: “… traffic light control algorithm over whole days. Results show that DRL achieves better minimization …”
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Dependency-aware Resource Allocation for Serverless Functions at the Edge von Baresi, Luciano, Quattrocchi, Giovanni, Ticongolo, Inacio

Inhaltsangabe: “… Serverless computing allows developers to break their code into small components, known …”
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LESEN: Label-Efficient deep learning for Multi-parametric MRI-based Visual Pathway Segmentation von Diakite, Alou, Li, Cheng, Xie, Lei, Feng, Yuanjing, Han, Hua, Wang, Shanshan

Inhaltsangabe: “… . Therefore, it is crucial to develop effective algorithms in situations with limited labeled samples …”
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Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks von Ma'sum, Muhammad Anwar, Sarkar, MD Rasel, Pratama, Mahardhika, Ramasamy, Savitha, Anavatti, Sreenatha, Liu, Lin, Habibullah, Kowalczyk, Ryszard

Inhaltsangabe: “… demonstrate the advantage of our approach with at least $3\%$ improvements over the baseline algorithms …”
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