Results 71 to 80 of about 2,159,479 (219)

Dimensionality Reduction Algorithms on High Dimensional Datasets

Emitter: International Journal of Engineering Technology, 2014
Classification problem especially for high dimensional datasets have attracted many researchers in order to find efficient approaches to address them. However, the classification problem has become very complicatedespecially when the number of possible ...
Iwan Syarif
doaj   +3 more sources

Reduction of infinite dimensional equations

Electronic Journal of Differential Equations, 2006
In this paper, we use the general Legendre transformation to show the infinite dimensional integrable equations can be reduced to a finite dimensional integrable Hamiltonian system on an invariant set under the flow of the integrable equations.
Zhongding Li, Taixi Xu
doaj  

Regularization of supersymmetric theories - recent progress

, 2006
General issues concerning the regularization of supersymmetric theories using dimensional regularization and dimensional reduction are reviewed. Recent progress on problems of dimensional reduction related to factorization, supersymmetry, Higgs boson ...
't Hooft, Aguilar-Saavedra, Avdeev, Avdeev, Beenakker, Beenakker, Breitenlohner, Capper, Catani, Dominik Stöckinger, Fischer, Heinemeyer, Hollik, Hollik, Hollik, Hollik, Hollik, Jack, Jack, Lam, Lowenstein, Maggiore, Maggiore, Martin, Siegel, Siegel, Signer, Smith, Stöckinger, Stöckinger, White   +30 more
core   +2 more sources

Circuit Design in Biology and Machine Learning. II. Anomaly Detection

Entropy
Anomaly detection is a well-established field in machine learning, identifying observations that deviate from typical patterns. The principles of anomaly detection could enhance our understanding of how biological systems recognize and respond to ...
Steven A. Frank
doaj   +1 more source

Towards Synthetic Augmentation of Training Datasets Generated by Mobility-on-Demand Service Using Deep Variational Autoencoders

Applied Sciences
The machine learning-based approaches for analysing the mobility needs of users are currently the most prevalent approach in the mobility-on-demand (MoD) analysis.
Martin Gregurić, Filip Vrbanić, Edouard Ivanjko   +2 more
doaj   +1 more source

High temperature dimensional reduction in Snyder space

Physics Letters B, 2015
In this paper, we formulate the statistical mechanics in Snyder space that supports the existence of a minimal length scale. We obtain the corresponding invariant Liouville volume which properly determines the number of microstates in the semiclassical ...
K. Nozari, V. Hosseinzadeh, M.A. Gorji
doaj   +1 more source

Dimension and Valence Manipulation of Luminescent Manganese‐Based Perovskites via Alternating Cation Interactions

Aggregate
Manganese (Mn)‐based halide perovskites have attracted tremendous attention due to their low‐cost and environment‐friendly characteristics. Nevertheless, their applications are hindered by limited photoluminescence (PL) efficiency and insufficient ...
Shamsa Kanwal, Farukh Mansoor, Datao Tu, Yunqin Zhang, Xiaoying Shang, Jin Xu, Wei Zheng, Shan Lu, Yavuz İlhan, Xueyuan Chen   +9 more
doaj   +1 more source

On dimensional reduction of magical supergravity theories

Physics Letters B, 2016
We prove, by a direct dimensional reduction and an explicit construction of the group manifold, that the nonlinear sigma model of the dimensionally reduced three-dimensional A=R magical supergravity is F4(+4)/(USp(6)×SU(2)).
Naoto Kan, Shun'ya Mizoguchi
doaj   +1 more source

Dimension Reduction of High-Dimensional Datasets Based on Stepwise SVM [PDF]

, 2017
Elizabeth P. Chou, Tzu-Wei Ko
openalex   +1 more source

New wrapper method based on normalized mutual information for dimension reduction and classification of hyperspectral images

, 2022
Hasna Nhaila, Asma Elmaizi, Elkebir Sarhrouni, Ahmed Hammouch   +3 more
openalex   +1 more source