• Suche: Learning Data Structures and Algorithms

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141

Overcoming Brittleness in Pareto-Optimal Learning-Augmented Algorithms
Angelopoulos, Spyros ; Dürr, Christoph ; Elenter, Alex ; et al.

Computer Science - Machi... Computer Science - Data...
Report
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142

Data Structures and Algorithms for Progressive Data Analysis
Fekete, Jean-Daniel ; Analysis and Visualization (AVIZ) ; Laboratoire Interdisciplinaire des Sciences du Numérique (LISN) ; et al.
Jean-Daniel Fekete; Danyel Fisher; Michael Sedlmair. Progressive Data Analysis: Roadmap and Research Agenda. :49-68

progressive data analysi... [INFO.INFO-HC]Computer S... Human-Computer Interacti...
Buch
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143

Learning-Augmented Hierarchical Clustering
Braverman, Vladimir ; Ergun, Jon C. ; Wang, Chen ; et al.

Computer Science - Data... Computer Science - Machi...
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144

Comparative analysis of multidimensional sequential trajectories clustering methods
Soubeiga, Armel ; Antoine, Violaine ; Moreno, Sylvain ; et al.

Social Science trajector... Care Trajectories Hard and Soft Relational... Multidimensional Sequenc... Time Series Longitudinal Data …
E-Ressource
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145

Certifying and learning quantum Ising Hamiltonians
Bluhm, Andreas ; Caro, Matthias C. ; Gutiérrez, Francisco Escudero ; et al.

Quantum Physics Computational Complexity Data Structures and Algo...
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146

Convolutional Kolmogorov–Arnold Networks : a survey
Kilani, Bochra Hadj ; Université de Carthage (Tunisie) = University of Carthage (UCAR)

Kolmogorov-Arnold Networ... Kolmogorov-Arnold Networ... Convolutional Kolmogorov... convolutional networks Univariate Function Lear... Convolutional Architectu... …
E-Ressource
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147

The Marked Edge Walk: A Novel MCMC Algorithm for Sampling of Graph Partitions
McWhorter, Atticus ; DeFord, Daryl

Data Structures and Algo... Machine Learning Physics and Society
Report
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148

Evaluating energy-aware cloud task scheduling techniques: A comprehensive dialectical approach
Hattay, Anas ; Ngole Mboula, Fred ; Gascard, Eric ; et al.

Charjah, United Arab Emi... Heuristics processing time scalability performance Alibaba Trace Data …
Konferenz
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149

Structure-Aware Spectral Sparsification via Uniform Edge Sampling
He, Kaiwen ; Drineas, Petros ; Khanna, Rajiv

Machine Learning Data Structures and Algo...
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150

Learning-based Approaches to Estimate Job Wait Time in HTC Datacenters
Gombert, Luc ; Suter, Frédéric ; Centre de Calcul de l'IN2P3 (CC-IN2P3) ; et al.
24th Workshop on Job Scheduling Strategies for Parallel Processing. :101-125

Portland, United States [INFO.INFO-DS]Computer S... Data Structures and Algo...
Konferenz
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152

Sublinear-Time Algorithms for Diagonally Dominant Systems and Applications to the Friedkin-Johnsen Model
Feng, Weiming ; Li, Zelin ; Peng, Pan

Data Structures and Algo... Machine Learning Social and Information N...
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153

NLU-Co at SemEval-2020 Task 5: NLU/SVM based model apply to characterise and extract counterfactual items on raw data
MBONING TCHIAZE, Elvis ; Nouvel, Damien ; Équipe de Recherche en Textes, Informatique, Multilinguisme (ERTIM) ; et al.
SemEval-2020 (International Workshop on Semantic Evaluation 2020). :670-676

Barcelone, Spain NLU NLP counterfactuals extraction classification …
Konferenz
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154

Reconquering Bell sampling on qudits: stabilizer learning and testing, quantum pseudorandomness bounds, and more
Allcock, Jonathan ; Doriguello, Joao F. ; Ivanyos, Gábor ; et al.

Quantum Physics Computational Complexity Data Structures and Algo... Machine Learning
Report
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155

Contributions to explainable anomaly detection using data depth
Contributions à la détection d'anomalies interprétable à l'aide de la profondeur des données
Valla, Romain ; Laboratoire Traitement et Communication de l'Information (LTCI) ; Institut Mines-Télécom [Paris] (IMT)-Télécom Paris ; et al.
Data Structures and Algorithms [cs.DS]. Institut Polytechnique de Paris, 2025. English. ⟨NNT : 2025IPPAT020⟩

Dimension reduction Visualisation Data depth Anomaly detection Réduction de dimension Profondeur des données …
Dissertation
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156

Learning Juntas under Markov Random Fields
Chandrasekaran, Gautam ; Klivans, Adam

Computer Science - Machi... Computer Science - Data...
Report
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157

DIFFLOW -A FRAMEWORK TO INCORPORATE THE PHYSICAL GRADIENT IN DEEP LEARNING MODELS FOR FLUID DYNAMICS
Vital, Eduardo ; Munzer, Thibaut ; Bonnet, Florent ; et al.
34th International Conference on Parallel Computational Fluid Dynamics, May 2023, Cuenca, Ecuador

Cuenca, Ecuador Deep Learning CFD Physically Informed Netw... Adjoint method [INFO.INFO-AI]Computer S... …
Konferenz
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158

Prior Makes It Possible: From Sublinear Graph Algorithms to LLM Test-Time Methods
Blum, Avrim ; Hsu, Daniel ; Rashtchian, Cyrus ; et al.

Machine Learning Artificial Intelligence Computational Complexity Data Structures and Algo...
Report
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159

The Evolution of Federated Learning-based Intrusion Detection and Mitigation: a Survey
Lavaur, Léo ; Pahl, Marc-Oliver ; Busnel, Yann ; et al.
IEEE Transactions on Network and Service Management. 19(3):2309-2332

federated learning machine learning intrusion detection syst... collaborative sharing network security managem... attack mitigation …
Zeitschrift
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160

Learning Ising Models under Hard Constraints using One Sample
Chauhan, Rohan ; Panageas, Ioannis

Machine Learning Data Structures and Algo...
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