Results 21 to 30 of about 169,559 (249)
Minimum Spanning vs. Principal Trees for Structured Approximations of Multi-Dimensional Datasets
Entropy, 2020 Construction of graph-based approximations for multi-dimensional data point clouds is widely used in a variety of areas. Notable examples of applications of such approximators are cellular trajectory inference in single-cell data analysis, analysis of ...
Alexander Chervov +2 more
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Кібернетика та комп'ютерні технології, 2022 Introduction. At present, with the increase in the number of data and the complexity of various processes in many branches of the national economy, the classical methods of answering have ceased to meet the needs.
Victor Andriichuk, Violeta Tretynyk
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bioRxiv, 2020 Geometric deep learning has well-motivated applications in the context of biology, a domain where relational structure in datasets can be meaningfully leveraged.
Arian Jamasb, P. Lio’, T. Blundell
semanticscholar +1 more source
Asynchronous Execution of Python Code on Task Based Runtime Systems [PDF]
, 2018 Despite advancements in the areas of parallel and distributed computing, the complexity of programming on High Performance Computing (HPC) resources has deterred many domain experts, especially in the areas of machine learning and artificial intelligence
Amini, Parsa +11 more
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TensorKrowch: Smooth integration of tensor networks in machine learning [PDF]
QuantumTensor networks are factorizations of high-dimensional tensors into networks of smaller tensors. They have applications in physics and mathematics, and recently have been proposed as promising machine learning architectures.
José Ramón Pareja Monturiol +2 more
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Parsl: Pervasive Parallel Programming in Python [PDF]
IEEE International Symposium on High-Performance Parallel Distributed Computing, 2019 High-level programming languages such as Python are increasingly used to provide intuitive interfaces to libraries written in lower-level languages and for assembling applications from various components.
Y. Babuji +11 more
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Predicting China’s Aging Portfolio Model Based on Python Big Data
Advances in Transdisciplinary Engineering, 2022 China’s national willingness to have children has been decreasing, according to the 2020 census, China’s aging coefficient has been as high as 13.32%, the very serious aging situation will have a wide impact on China’s economic restructuring ...
Buyu Dong +3 more
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openTSNE: a modular Python library for t-SNE dimensionality reduction and embedding
bioRxiv, 2019 Summary Point-based visualisations of large, multi-dimensional data from molecular biology can reveal meaningful clusters. One of the most popular techniques to construct such visualisations is t-distributed stochastic neighbor embedding (t-SNE), for ...
P. G. Policar, Martin Stražar, B. Zupan
semanticscholar +1 more source
Inform: Efficient Information-Theoretic Analysis of Collective Behaviors
Frontiers in Robotics and AI, 2018 The study of collective behavior has traditionally relied on a variety of different methodological tools ranging from more theoretical methods such as population or game-theoretic models to empirical ones like Monte Carlo or multi-agent simulations.
Douglas G. Moore +3 more
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DOLFIN: Automated Finite Element Computing [PDF]
, 2009 We describe here a library aimed at automating the solution of partial differential equations using the finite element method. By employing novel techniques for automated code generation, the library combines a high level of expressiveness with efficient
Logg, Anders, Wells, GN
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