Results 21 to 30 of about 743,199 (75)
Phase2vec: Dynamical systems embedding with a physics-informed convolutional network [PDF]
arXiv, 2022 Dynamical systems are found in innumerable forms across the physical and biological sciences, yet all these systems fall naturally into universal equivalence classes: conservative or dissipative, stable or unstable, compressible or incompressible. Predicting these classes from data remains an essential open challenge in computational physics at which ...
arxiv
On the embedding problem for Čebyšev systems
Journal of Approximation Theory, 1980 AbstractIt is shown by an example that there are continuously differentiable functions with only finitely many zeros that cannot be considered as elements of a Čebysěv system of continuous functions.
Roland Zielke, Richard Haverkamp
openaire +2 more sources
Learning to Embed Categorical Features without Embedding Tables for Recommendation [PDF]
arXiv, 2020 Embedding learning of categorical features (e.g. user/item IDs) is at the core of various recommendation models including matrix factorization and neural collaborative filtering. The standard approach creates an embedding table where each row represents a dedicated embedding vector for every unique feature value.
arxiv
Embedding Projector: Interactive Visualization and Interpretation of Embeddings [PDF]
arXiv, 2016 Embeddings are ubiquitous in machine learning, appearing in recommender systems, NLP, and many other applications. Researchers and developers often need to explore the properties of a specific embedding, and one way to analyze embeddings is to visualize them. We present the Embedding Projector, a tool for interactive visualization and interpretation of
arxiv
A Survey on Network Embedding [PDF]
arXiv, 2017 Network embedding assigns nodes in a network to low-dimensional representations and effectively preserves the network structure. Recently, a significant amount of progresses have been made toward this emerging network analysis paradigm. In this survey, we focus on categorizing and then reviewing the current development on network embedding methods, and
arxiv
Hybrid Improved Document-level Embedding (HIDE) [PDF]
arXiv, 2020 In recent times, word embeddings are taking a significant role in sentiment analysis. As the generation of word embeddings needs huge corpora, many applications use pretrained embeddings. In spite of the success, word embeddings suffers from certain drawbacks such as it does not capture sentiment information of a word, contextual information in terms ...
arxiv
Accessible points of planar embeddings of tent inverse limit spaces [PDF]
arXiv, 2017 In this paper we study a class of embeddings of tent inverse limit spaces. We introduce techniques relying on the Milnor-Thurston kneading theory and use them to study sets of accessible points and prime ends of given embeddings. We completely characterize accessible points and prime ends of standard embeddings arising from the Barge-Martin ...
arxiv
Embedding minimal dynamical systems into Hilbert cubes [PDF]
arXiv, 2015 We study the problem of embedding minimal dynamical systems into the shift action on the Hilbert cube $\left([0,1]^N\right)^{\mathbb{Z}}$. This problem is intimately related to the theory of mean dimension, which counts the averaged number of parameters of dynamical systems.
arxiv
Embedding asymptotically expansive systems
Monatshefte für Mathematik, 2017 We prove a Krieger like embedding theorem for asymptotically expansive systems with the small boundary property. We show that such a system $(X; T)$ embeds in the $K$-full shift with $h_{top}(T) < \log K $ and $\sharp Per_n(X; T) \leq \sharp Per_n(\{1,...,K\}^{\mathbb{Z}}; )$ for any integer $n$.
openaire +3 more sources
Security and availability on embedded systems
, 2018 With the fast-paced development of the Internet of Things and its applications within the emerging field of Industry 4.0 — decentralizing decisions by remotely monitoring data and automata — the issues of security and reliability of the whole communication pipeline between the connected devices taking part in this smart industry become crucial. In such
Burger, Nicolas +3 more
openaire +4 more sources