Results 251 to 260 of about 115,342 (279)

Nonlinear Dimensionality Reduction and Manifold Learning

2013
We have little visual guidance to help us identify any meaningful lowdimensional structure hidden in high-dimensional data. The linear projection methods of Chapter 7 can be extremely useful in discovering lowdimensional structure when the data actually lie in a linear (or approximately linear) lower-dimensional subspace (called a manifold) ℳ of input ...
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Linear and Nonlinear Dimensionality Reduction

2023
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Nonlinear Methods for Dimensionality Reduction

2013
Charles K. Chui, Jianzhong Wang
openaire   +1 more source

Obesity and adverse breast cancer risk and outcome: Mechanistic insights and strategies for intervention

Ca-A Cancer Journal for Clinicians, 2017
Cynthia Morata-Tarifa, Joyce M Slingerland   +1 more
exaly  

Multidisciplinary standards of care and recent progress in pancreatic ductal adenocarcinoma

Ca-A Cancer Journal for Clinicians, 2020
Aaron J Grossberg, William L Hwang, Anirban Maitra   +2 more
exaly  

Nonlinear Dimensionality Reduction

2016
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Nonlinear Dimensionality Reduction

2007
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Oral complications of cancer and cancer therapy

Ca-A Cancer Journal for Clinicians, 2012
Joel B Epstein, Rene-Jean Bensadoun, Andrei Barasch   +2 more
exaly  

The financial burden and distress of patients with cancer: Understanding and stepping‐up action on the financial toxicity of cancer treatment

Ca-A Cancer Journal for Clinicians, 2018
Pricivel M Carrera, Hagop M Kantarjian, Victoria S Blinder   +2 more
exaly  

American Cancer Society Head and Neck Cancer Survivorship Care Guideline

Ca-A Cancer Journal for Clinicians, 2016
Nader Sadeghi, Katherine A Hutcheson, Gary H Lyman   +2 more
exaly