Dimensionality reduction

Computing matrices is a crucial and prevalent topic in the field of data processing and artificial intelligence. One of the significant and effective methods for matrix manipulation is Singular Value Decomposition (SVD). Based on matrix computations using SVD, we can perform various complex operations such as dimensionality reduction, hidden information detection, optimization, and many other applications.

9p viprimi 16-12-2024 2 0   Download

Bài giảng "Máy học nâng cao: Dimension reduction and feature selection" cung cấp cho người học các kiến thức: Introduction - dimensionality reduction and feature selection, dimensionality reduction, feature selection. Cuối bài giảng có phần bài tập để người học ôn tập và củng cố kiến thức.

81p abcxyz123_08 11-04-2020 44 6   Download

Bài giảng Khai phá dữ liệu (Data mining): Dimensionality reduction and feature selection, chương này trình bày những nội dung về: introduction to dimensionality reduction and feature selection; principal component analysis (PCA); fisher’s linear discriminant analysis (LDA);... Mời các bạn cùng tham khảo chi tiết nội dung bài giảng!

81p diepkhinhchau 18-09-2023 14 5   Download

Research thesis with objectives improve the effectiveness of implementation of poverty reduction policies based on multi-dimensional approach poverty lines in Vinh Long province.

24p gaocaolon6 30-07-2020 42 1   Download

The Fourier transform of a C ∞ function, f , with compact support on a real reductive Lie group G is given by a collection of operators φ(P, σ, λ) := π P (σ, λ)(f ) for a suitable family of representations of G, which depends on a family, indexed by P in a finite set of parabolic subgroups of G, of pairs of parameters (σ, λ), σ varying in a set of discrete series, λ lying in a complex finite dimensional vector space. The π P (σ, λ) are generalized principal series, induced from P . It is...

44p noel_noel 17-01-2013 59 6   Download

Reduction of the singularities of codimension one singular foliations in dimension three By Felipe Cano Contents 0. Introduction 1. Blowing-up singular foliations 1.1. Adapted singular foliations 1.2. Permissible centers 1.3. Vertical invariants 1.4. First properties of presimple singularities 2. Global strategy 2.1. Reduction to presimple singularities. Statement 2.2. Good points. Bad points. Equi-reduction 2.3. Finiteness of bad points 2.4. The influency locus 2.5. The local control theorem 2.6. Destroying cycles 2.7. Global criteria of blowing-up 3. Local control 3.1.

106p tuanloccuoi 04-01-2013 60 8   Download

We establish an exact relation between self-avoiding branched polymers in D + 2 continuum dimensions and the hard-core continuum gas at negative activity in D dimensions. We review conjectures and results on critical exponents for D + 2 = 2, 3, 4 and show that they are corollaries of our result. We explain the connection (first proposed by Parisi and Sourlas) between branched polymers in D + 2 dimensions and the Yang-Lee edge singularity in D dimensions.

22p tuanloccuoi 04-01-2013 53 8   Download

Tuyển tập các báo cáo nghiên cứu về lâm nghiệp được đăng trên tạp chí lâm nghiệp Original article đề tài:"Reduction of wood hygroscopicity and associated dimensional response by repeated humidity cycles"

10p toshiba5 19-09-2011 45 4   Download