Sciweavers

4366 search results - page 513 / 874
» Learning and Smoothed Analysis
Sort
View
IJON
2010
178views more  IJON 2010»
15 years 5 months ago
An empirical study of two typical locality preserving linear discriminant analysis methods
: Laplacian Linear Discriminant Analysis (LapLDA) and Semi-supervised Discriminant Analysis (SDA) are two recently proposed LDA methods. They are developed independently with the a...
Lishan Qiao, Limei Zhang, Songcan Chen
JMLR
2010
179views more  JMLR 2010»
15 years 1 months ago
PAC-Bayesian Analysis of Co-clustering and Beyond
We derive PAC-Bayesian generalization bounds for supervised and unsupervised learning models based on clustering, such as co-clustering, matrix tri-factorization, graphical models...
Yevgeny Seldin, Naftali Tishby
PAMI
2012
13 years 9 months ago
A Least-Squares Framework for Component Analysis
— Over the last century, Component Analysis (CA) methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Canonical Correlation Analysis (CCA), Lap...
Fernando De la Torre
SAC
2010
ACM
16 years 1 months ago
Enhancing document structure analysis using visual analytics
During the last decade national archives, libraries, museums and companies started to make their records, books and files electronically available. In order to allow efficient ac...
Andreas Stoffel, David Spretke, Henrik Kinnemann, ...
ESWA
2011
220views Database» more  ESWA 2011»
14 years 10 months ago
Unsupervised neural models for country and political risk analysis
This interdisciplinary research project focuses on relevant applications of Knowledge Discovery and Artificial Neural Networks in order to identify and analyse levels of country, b...
Álvaro Herrero, Emilio Corchado, Alfredo Ji...