Results 361 to 370 of about 8,286,998 (397)

Bayesian Supervised Dimensionality Reduction

IEEE Transactions on Cybernetics, 2013
Dimensionality reduction is commonly used as a preprocessing step before training a supervised learner. However, coupled training of dimensionality reduction and supervised learning steps may improve the prediction performance. In this paper, we introduce a simple and novel Bayesian supervised dimensionality reduction method that combines linear ...
openaire   +5 more sources

Discriminative Dimensionality Reduction Mappings

2012
Discriminative dimensionality reduction aims at a low dimensional, usually nonlinear representation of given data such that information as specified by auxiliary discriminative labeling is presented as accurately as possible. This paper centers around two open problems connected to this question: (i) how to evaluate discriminative dimensionality ...
Gisbrecht, Andrej, Hofmann, Daniela, Hammer, Barbara, Hollmén, Jaakko, Klawonn, Frank, Tucker, Allan   +5 more
openaire   +3 more sources

Dimensionality Reduction

2017
This chapter starts by a principled introduction to principal component analysis (PCA) and ends, hopefully, with strong confidence. We cover an increasingly important method in neuroscience—dimensionality reduction. We discuss the reason this method is important and exemplify it with a popular dimension reduction technique, PCA.
Erik Lee Nylen, Pascal Wallisch
openaire   +2 more sources

Laplacian Eigenmaps for Dimensionality Reduction and Data Representation

Neural Computation, 2003
M. Belkin, P. Niyogi
semanticscholar   +1 more source

Overview and comparative study of dimensionality reduction techniques for high dimensional data

Information Fusion, 2020
Shaeela Ayesha, M. Hanif, Ramzan Talib
semanticscholar   +1 more source

Dimensionality Reduction by Learning an Invariant Mapping

Computer Vision and Pattern Recognition, 2006
R. Hadsell, S. Chopra, Yann LeCun
semanticscholar   +1 more source

Integrative oncology: Addressing the global challenges of cancer prevention and treatment

Ca-A Cancer Journal for Clinicians, 2022
Paulo Cáceres Guido, Jun J Mao, Lorenzo Cohen   +2 more
exaly  

Reduction of Dimensionality

2003
Zhidong Bai, Paruchuri R. Krishnaiah
openaire   +2 more sources

The American Cancer Society 2035 challenge goal on cancer mortality reduction

Ca-A Cancer Journal for Clinicians, 2019
Jiemin Ma, Ahmedin Jemal, Farhad Islami
exaly  

Opportunities and Strategies for Breast Cancer Prevention Through Risk Reduction

Ca-A Cancer Journal for Clinicians, 2008
Eleni Linos
exaly