Local Rademacher Complexity Machine
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.10.087
Abstract: Abstract Support Vector Machines (SVMs) are a state-of-the-art and powerful learning algorithm that can effectively solve many real world problems. SVMs are the transposition of the Vapnik–Chervonenkis (VC) theory into a learning algorithm. In this… read more here.
Keywords: rademacher complexity; complexity machine; learning algorithm; local rademacher ... See more keywords
Inversion Method of a Highly Generalized Neural Network Based on Rademacher Complexity for Rough Media GATEM Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3153686
Abstract: The ground-source airborne time-domain electromagnetic (GATEM) method is an effective electromagnetic exploration technology. The actual geological medium has rough characteristics; however, the current inversion methods for GATEM data are mostly based on homogeneous medium and… read more here.
Keywords: gatem; medium; gatem data; highly generalized ... See more keywords
Mining Sequential Patterns with VC-Dimension and Rademacher Complexity
Sign Up to like & getrecommendations! Published in 2020 at "Algorithms"
DOI: 10.3390/a13050123
Abstract: Sequential pattern mining is a fundamental data mining task with application in several domains. We study two variants of this task—the first is the extraction of frequent sequential patterns, whose frequency in a dataset of… read more here.
Keywords: mining; dimension rademacher; rademacher complexity; sequential patterns ... See more keywords