Treffer 101 - 120 von 201.230

101

Category-theoretic data structures and algorithms for learning polynomial circuits
Wilson, Paul William. ; Wilson, Paul William.
University of Southampton

E-Ressource
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102

Signal-Aware Workload Shifting Algorithms with Uncertainty-Quantified Predictors
Johnson, Ezra ; Lechowicz, Adam ; Hajiesmaili, Mohammad

Data Structures and Algo... Machine Learning
Report
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103

Scheduling with Fully Compressible Tasks: Application to Deep Learning Inference with Neural Network Compression
da Silva Barros, Tiago ; Giroire, Frédéric ; Aparicio-Pardo, Ramon ; et al.
CCGRID 2024 - 24th IEEE/ACM international Symposium on Cluster, Cloud and Internet Computing, IEEE/ACM, May 2024, Philadelphia, United States. ⟨10.1109/CCGrid59990.2024.00045⟩

Philadelphia, United Sta... scheduling compressible tasks neural network compressi... approximation algorithms convex programming
Konferenz
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104

Efficient Sketching and Nearest Neighbor Search Algorithms for Sparse Vector Sets
Bruch, Sebastian ; Nardini, Franco Maria ; Rulli, Cosimo ; et al.

Data Structures and Algo... Information Retrieval Machine Learning
Report
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105

Seabed prediction from airborne topo-bathymetric lidar point cloud using machine learning approaches
Le Deunf, Julian ; Mishra, Rudresh ; Pastol, Yves ; et al.
OCEANS 2021: San Diego – Porto. :1-9

San Diego, United States supervised machine learn... topo-bathymetric lidar d... data processing [INFO.INFO-DS]Computer S... Data Structures and Algo...
Konferenz
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107

Learning the structure of any Hamiltonian from minimal assumptions
Zhao, Andrew
Proceedings of the 57th Symposium on Theory of Computing (STOC), pp. 1201-1211, 2025

Quantum Physics Data Structures and Algo... Machine Learning
Report
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108

Optimal Task Assignment for Heterogeneous Federated Learning Devices
Lima Pilla, Laércio ; Systèmes Parallèles - LISN (ParSys) ; Algorithmes, Apprentissage et Calcul (AAC) ; et al.
IEEE International Parallel and Distributed Processing Symposium (IPDPS). :661-670

Portland, OR, United Sta... Scheduling Federated Learning Makespan Minimization Proof of Optimality Simulation
Konferenz
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109

Automated assessment system for programming courses: a case study for teaching data structures and algorithms
Barczak, Andre L. C. ; Mathrani, Anuradha ; Han, Binglan ; et al.
Educational technology research and development: A bi-monthly publication of the Association for Educational Communications & Technology. :1-24

Fachzeitschrift
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110

A Learning Perspective on Random-Order Covering Problems
Gupta, Anupam ; Molinaro, Marco ; Russo, Matteo

Data Structures and Algo...
Report
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111

Learning on graphs : from algorithms to socio-technical analyses on AI
Apprentissage sur graphes : des algorithmes aux analyses socio-techniques de l'IA

Delarue, Simon ; Laboratoire Traitement et Communication de l'Information (LTCI) ; Institut Mines-Télécom [Paris] (IMT)-Télécom Paris ; et al.
Artificial Intelligence [cs.AI]. Institut Polytechnique de Paris, 2025. English. ⟨NNT : 2025IPPAT004⟩

Socio-Technical systems Ai ethics Artificial intelligence Machine learning Graphs Systèmes sociotechniques...
Dissertation
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113

Efficient learning of bosonic Gaussian unitaries
Fanizza, Marco ; Iyer, Vishnu ; Lee, Junseo ; et al.

Quantum Physics Data Structures and Algo... Machine Learning
Report
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114

Scheduling Algorithms for Federated Learning with Minimal Energy Consumption
Lima Pilla, Laércio ; STatic Optimizations, Runtime Methods (STORM) ; Laboratoire Bordelais de Recherche en Informatique (LaBRI) ; et al.
IEEE Transactions on Parallel and Distributed Systems, In press, ⟨10.1109/TPDS.2023.3240833⟩

scheduling optimization machine learning energy conservation algorithms parallel processing
Zeitschrift
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115

Online Learning in the Random Order Model
Bernasconi, Martino ; Celli, Andrea ; Colini-Baldeschi, Riccardo ; et al.

Machine Learning Data Structures and Algo...
Report
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116

A data-driven approach for the real-time modeling of spot-welded patches under impact using Deep Learning
Pulikkathodi, Afsal ; Longatte-Lacazedieu, Elisabeth ; Chamoin, Ludovic ; et al.
25éme congrès français de mécanique, Aug 2022, Nantes, France

Nantes, France Spot-Welds Explicit dynamics Local-glocal coupling ap... Data-driven mechanics Artificial Neural Networ...
Konferenz
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117

Learning-Augmented Competitive Algorithms for Spatiotemporal Online Allocation with Deadline Constraints
Lechowicz, Adam ; Christianson, Nicolas ; Sun, Bo ; et al.
Proc. ACM Meas. Anal. Comput. Syst. Volume 9, Issue 1, Article 8 (March 2025), 49 pages

Computer Science - Data... Computer Science - Distr... Computer Science - Machi...
Report
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118

Machine Learning-Based Parametric Fault Detection in Analog and Mixed-Signal Circuits
Kouamo, Jules ; Simeu, Emmanuel ; Portolan, Michele ; et al.
IEEE 31st International Symposium on On-Line Testing and Robust System Design (IOLTS 2025). :1-5

Ischia, Italy [INFO]Computer Science [... [INFO.INFO-AI]Computer S... Artificial Intelligence... [INFO.INFO-AR]Computer S... Hardware Architecture [c...
Konferenz
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119

Private Learning of Littlestone Classes, Revisited
Lyu, Xin

Machine Learning Cryptography and Securit... Data Structures and Algo...
Report
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120

Enhanced BIST Architecture for Analog and Mixed-Signal Systems with On-Chip APRMLS and Machine Learning Analysis
Kouamo, Jules ; Simeu, Emmanuel ; Portolan, Michele ; et al.
2025 International Conference on Control. :1-6

Barcelona, France [INFO]Computer Science [... [INFO.INFO-AI]Computer S... Artificial Intelligence... [INFO.INFO-AR]Computer S... Hardware Architecture [c...
Konferenz
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