Θεωρώντας ότι θα ενδιαφέρει αρκετούς, επισημαίνω την έναρξη έκδοσης του SIAM Journal on Mathematics of Data Science (SIMODS). Αντιγράφοντας από την ανακοίνωση: The journal advances mathematical, statistical, and computational methods in the context of data and information sciences. Ορισμένες εργασίες που δημοσιεύτηκαν στο πρώτο τεύχος:
/https://doi.org/10.1137/19N974701″>Introduction to SIAM Journal on Mathematics of Data Science (SIMODS) (Tamara G. Kolda)
/https://doi.org/10.1137/18M118709X”>Optimal Approximation with Sparsely Connected Deep Neural Networks (Helmut Bolcskei, Philipp Grohs, Gitta Kutyniok, and Phillipp Petersen)
/https://doi.org/10.1137/18M1183352″>Multi-Layer Sparse Coding: The Holistic Way (Aviad Aberdam, Jeremias Sulam, and Michael Elad)
/https://doi.org/10.1137/18M1189336″>New Error Bounds for Deep ReLU Networks using Sparse Grids (Hadrien Montanelli and Qiang Du)
/https://doi.org/10.1137/18M1188999″>Variational Limits of k-NN Graph-Based Functionals on Data Clouds (Nicolas Garcia Trillos)
/https://doi.org/10.1137/18M1183595″>The Rankability of Data (Paul Anderson, Timothy Chartier, and Amy Langville)
/https://doi.org/10.1137/18M1183480″>Why Are Big Data Matrices Approximately Low Rank? (Madeleine Udell and Alex Townsend)
/https://doi.org/10.1137/18M1183339″>Decoding from Pooled Data: Sharp Information-Theoretic Bounds (Ahmed El-Alaoui, Aaditya Ramdas, Florent Krzakala, Lenka Zbeborova, and Michael Jordan)
/https://doi.org/10.1137/18M1189749″>Sequential Sampling for Optimal Weighted Least Squares Approximations in Hierarchical Spaces (Benjamin Arras, Markus Bachmayr, and Albert Cohen)
/https://doi.org/10.1137/18M1184035″>Gaussian Process Landmarking on Manifolds (Tingran Gao, Shahar Z. Kovalsky, and Ingrid Daubechies)
/https://doi.org/10.1137/18M1203481″>Gaussian Process Landmarking for Three-Dimensional Geometric Morphometrics (Tingran Gao, Shahar Z. Kovalsky, Doug M. Boyer, and Ingrid Daubechies)