• Suche: Learning functional data structures and algorithms

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161

Parallel Cut Pursuit For Minimization of the Graph Total Variation
Hugo, Raguet ; Landrieu, Loic ; Landrieu, Loic

[INFO.INFO-AI] Computer... FOS: Computer and inform... Optimization and Control... Computer Science - Data... 0202 electrical engineer... FOS: Mathematics …
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162

An Efficient Algorithm for Computing Entropic Measures of Feature Subsets
Pennerath, Frédéric ; CentraleSupélec ; Knowledge representation, reasonning (ORPAILLEUR) ; et al.
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018 ; ECML-PKDD 2018 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases ; https://hal-centralesupelec.archives-ouvertes.fr/hal-01897734 ; ECML-PKDD 2018 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2018, Dublin, Ireland ; http://www.ecmlpkdd2018.org/

Dublin Ireland Approximate Functional D... Pattern redundancy Algorithm efficiency Pattern mining …
Konferenz
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163

Dynamic Multivariate Functional Data Modeling via Sparse Subspace Learning
Zhang, Chen ; Yan, Hao ; Lee, Seungho ; et al.

Statistics - Machine Lea... Computer Science - Learn...
Report
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164

Graph Learning-Based Scoring of RNA–Protein Complex Structures
Jiang, Zheng ; Zhang, Ye ; Yang, Guipu ; et al.
Journal of Chemical Theory and Computation. 21(18):9200-9213

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165

REFERENCE IN INTERLANGUAGE: THE CASE OF THIS AND THAT. From linguistic annotation to corpus interoperability
LA RÉFÉRENCE DANS L'INTERLANGUE : LE CAS DE THIS ET THAT. De l'annotation linguistique à l'interopérabilité des corpus
Gaillat, Thomas ; Centre de Linguistique Inter-langues, de Lexicologie, de Linguistique Anglaise et de Corpus (CLILLAC-ARP (EA_3967)) ; Université Paris Diderot - Paris 7 (UPD7) ; et al.
Linguistics. Université Paris Diderot (Paris 7) Sorbonne Paris Cité, 2016. English. ⟨NNT : ⟩

anaphora interoperability Référence deixis anaphore annotation …
Dissertation
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166

Spectral Perturbation Bounds for Low-Rank Approximation with Applications to Privacy
Tran, Phuc ; Vishnoi, Nisheeth K. ; Vu, Van H.

Machine Learning Cryptography and Securit... Data Structures and Algo... Numerical Analysis Spectral Theory
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167

Mixture of segmentation for heterogeneous functional data
Brault, Vincent ; Devijver, Émilie ; Laclau, Charlotte

Statistics - Methodology Statistics - Application... Statistics - Computation Statistics - Machine Lea... 62M10, 62F12, 62-08 G.3
Report
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168

AbSet: A Standardized Data Set of Antibody Structures for Machine Learning Applications
Almeida, Diego S. ; Almeida, Matheus V. ; Sampaio, Jean V. ; et al.
Journal of Chemical Information and Modeling. 65(10):4767-4774

Report
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169

Mixture of segmentation for heterogeneous functional data
Mélange de segmentation pour les données fonctionnelles hétérogènes
Brault, Vincent ; Devijver, Emilie ; Laclau, Charlotte ; et al.
Electronic Journal of Statistics. 18(2):3729-3773

Mixture model Segmentation Functional Data Consistency 62M10;62F12;62-08 [STAT.ML]Statistics [sta... …
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170

REWA: A General Theory of Witness-Based Similarity
Phadke, Nikit

Machine Learning Data Structures and Algo... Information Retrieval
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171

Model-Based Clustering and Classification of Functional Data
Chamroukhi, Faicel ; Nguyen, Hien D.

Statistics - Machine Lea... Computer Science - Learn... Statistics - Methodology
Report
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172

Finite-Temperature Structures of Supported Subnanometer Catalysts Inferred via Statistical Learning and Genetic Algorithm-Based Optimization
Wang, Yifan ; Su, Ya-Qiong ; Hensen, Emiel J. M. ; et al.
ACS Nano. 14(10):13995-14007

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173

Modeling and learning with mixtures of experts for functional data and distributed data
Modélisation et apprentissage avec des mélanges d'experts pour les données fonctionnelles et les données distribuées
Pham, Nhat Thien ; Laboratoire de Mathématiques Nicolas Oresme (LMNO) ; Université de Caen Normandie (UNICAEN) ; et al.
Numerical Analysis [math.NA]. Normandie Université, 2022. English. ⟨NNT : 2022NORMC269⟩

Mixture of experts Functional data analysis Regularized estimation LASSO MM Algorithm Distributed learning …
Dissertation
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174

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.
https://theses.hal.science/tel-05172674 ; Data Structures and Algorithms [cs.DS]. Institut Polytechnique de Paris, 2025. English. ⟨NNT : 2025IPPAT020⟩.

Anomaly detection Data depth Visualisation Dimension reduction Détection d'anomalies Profondeur des données …
Dissertation
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175

Non-linear Functional Modeling using Neural Networks
Rao, Aniruddha Rajendra ; Reimherr, Matthew
Journal of Computational and Graphical Statistics, 2023

Computer Science - Machi... Computer Science - Artif... Statistics - Methodology Statistics - Machine Lea...
Report
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176

Pd-Modified Microneedle Array Sensor Integration with Deep Learning for Predicting Silica Aerogel Properties in Real Time
Park, Hyun-Su ; Park, In Woo ; Kim, Dowoo ; et al.
ACS Applied Materials & Interfaces. 17(10):15570-15578

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177

Non-blocking functional dependency discovery from data streams.
Caruccio, Loredana ; Cirillo, Stefano ; Deufemia, Vincenzo ; et al.
Information Sciences. Feb2025, Vol. 690, pN.PAG-N.PAG. 1p.

DATA scrubbing ARCHITECTURAL models ONLINE education DATA structures AIR quality
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178

In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies
Kook, Yunbum ; Vempala, Santosh S. ; Zhang, Matthew S.

Data Structures and Algo... Machine Learning Statistics Theory
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179

Functional Isolation Forest
Staerman, Guillaume ; Mozharovskyi, Pavlo ; Clémençon, Stephan ; et al.

Statistics - Machine Lea... Computer Science - Machi...
Report
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180

BioStructNet: Structure-Based Network with Transfer Learning for Predicting Biocatalyst Functions
Wang, Xiangwen ; Zhou, Jiahui ; Mueller, Jane ; et al.
Journal of Chemical Theory and Computation. 21(1):474-490

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