| Springer Nature B.V.

71,980원  | 20230607  | 9783031269806

This volume collects selected papers from the Ninth High Dimensional Probability Conference, held virtually from June 15-19, 2020. These papers cover a wide range of topics and demonstrate how high-dimensional probability remains an active area of research with applications across many mathematical disciplines. Chapters are organized around four general topics: inequalities and convexity; limit theorems; stochastic processes; and high-dimensional statistics.

Gordon Blower  | Cambridge University Press

127,800원  | 20210101  | 9780521133128

An introduction to the behaviour of random matrices. Suitable for postgraduate students and non-experts.

 | LAP Lambert Academic Publishing

113,400원  | 20250122  | 9786208119171

Dimensionality reduction is the transformation of high-dimensional data into a meaningful representation of reduced dimensionality that corresponds to the intrinsic dimensionality of the data. Number of variables or attributes of any data set effect to a large extent clustering of that particular data. These attributes directly affect the dissimilarity or distance measures thereby effecting accuracy of data. So dimensionality reduction techniques can definitely improve clustering.

Serdobolskii, V.  | Kluwer

197,980원  | 20001101  | 9780792366430

Multivariate Statistical Analysis

 | Birkhauser

323,980원  | 20240606  | 9783031269813

This volume collects selected papers from the Ninth High Dimensional Probability Conference, held virtually from June 15-19, 2020. These papers cover a wide range of topics and demonstrate how high-dimensional probability remains an active area of research with applications across many mathematical disciplines.

 | Indy Pub

53,980원  | 20250626  | 9798349421679

Embark on a journey to conquer the intricate world of numerical optimization with. "Numerical Optimization's Non-Linear Nuances: Refining Algorithms for High-Dimensional, Non-Convex Problems." This book is your definitive guide to navigating the treacherous terrains of complex optimization landscapes, offering a comprehensive toolkit for researchers, engineers, and students alike.

 | Springer Nature B.V.

71,980원  | 20161001  | 9783319405186

This volume collects selected papers from the 7th High Dimensional Probability meeting held at the Institut d'Etudes Scientifiques de Cargese (IESC) in Corsica, France. High Dimensional Probability (HDP) is an area of mathematics that includes the study of probability distributions and limit theorems in infinite-dimensional spaces such as Hilbert spaces and Banach spaces.

 | CRC Press

170,070원  | 20241004  | 9781032134710

The reaction-diffusion system describes the fertility decline process, elaborating where and when fertility declines and analyzes how to slow down the fertility decline using Brittany as a testing ground. The model used suggests that our behaviors are not governed by our conscious wills but by surrounding environment.

 | World Scientific Publishing Company

484,200원  | 20031021  | 9789812382238

Contents:?A Foliated Squeezing Theorem for Geometric Modules?(A Bartels et al.); Equivariant Cellular Homology and Its Applications?(B Chorny); Remarks on a Conjecture of Gromov and Lawson?(W Dwyer et al.); Chain Complex Invariants for Group Actions?(L E Jones); The Ore Condition, Affiliated Operators, and the Lamplighter Group?(P A Linnell et al.

 | Lulu Press

45,280원  | 20231120  | 9798985961270

This book "The Symphony of High Dimensional Wisdoms" uses the scientific context and builds an intertwined network of wisdom systems. It is a hub connecting all wisdom languages; an internal bridge that seeks commonalities and existing for the harmonious symphony of multiculturalism in the world. The fundamental meaning of life is to improve the dimension of consciousness energy. We should have sufficient confidence in our internal environment to harness energy of all dimensions.

Huang, Shao-Lun, Makur, Anuran, Wornell, Gregory W.  | Now Publishers

146,120원  | 20240205  | 9781638281764

 | Igi Global

351,000원  | 20090228  | 9781605662145

Covers theories and applications of neural networks with high-dimensional parameters such as complex-valued neural networks, quantum neural networks, quaternary neural networks, and Clifford neural networks. This book is suitable for graduate students, researchers and practitioners.

John Wiley & Sons  | John Wiley & Sons Inc

147,730원  | 20130808  | 9781118034293

Methods for estimating sparse and large covariance matrices Covariance and correlation matrices play fundamental roles in every aspect of the analysis of multivariate data collected from a variety of fields including business and economics, health care, engineering, and environmental and physical sciences.

Al  | World Scientific

100,800원  | 20210101  | 9789814273480

Poor data quality is known to compromise the credibility and efficiency of public endeavours. The importance of managing data quality has increased manifold as the diversity of sources, formats and volume of data grows. This work targets the data quality in the light of collaborative information systems where ownership is difficult to establish.

Emdad, Fatemeh  | VDM

136,800원  | 20080830  | 9783639074215

A data mining and feature extraction technique called Signal Fraction Analysis (SFA) is introduced. The method is applicable to high dimensional data. The row-energy and column-energy optimization problems for signal-to-signal ratios are investigated. A generalized singular value problem is presented. This setting is distinguished from the Singular Value Decomposition (SVD). Two new generalized SVD type problems for computing subspace representations is introduced.