49 search results - page 2 / 10 » Some ways to reduce the space dimension in polyhedra computa... |
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...
ORDER
2010
13 years 3 months ago
2010
Embedding a partially ordered set into a product of chains is a classical way to encode it. Such encodings have been used in various fields such as object oriented programming or ...
CIE
2010
Springer
13 years 10 months ago
2010
Springer
A theorem of Besicovitch and Davies implies for Cantor space 2ω that each Σ1 1 (analytic) class of positive Hausdorff dimension contains a Π0 1 (closed) subclass of positive di...
ENTCS
2010
13 years 2 months ago
2010
Molecular biological models usually suffer from a dramatic combinatorial blow up. Indeed, proteins form complexes and can modify each others, which leads to the formation of a hug...
CGF
2011
12 years 9 months ago
2011
High-dimensional data visualization is receiving increasing interest because of the growing abundance of highdimensional datasets. To understand such datasets, visualization of th...