18 search results - page 2 / 4 » Wallace's Approach to Unsupervised Learning: The Snob Progra... |
JMLR
2012
11 years 10 months ago
2012
Unsupervised discovery of latent representations, in addition to being useful for density modeling, visualisation and exploratory data analysis, is also increasingly important for...
ESWS
2010
Springer
13 years 9 months ago
2010
Springer
In the Linked Open Data cloud one of the largest data sets, comprising of 2.5 billion triples, is derived from the Life Science domain. Yet this represents a small fraction of the ...
KDD
2006
ACM
14 years 8 months ago
2006
ACM
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
CP
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. The global cumulative constraint was proposed for modelling cumulative resources in scheduling problems for finite domain (FD) propagation. Since that time a great deal ...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
Many unsupervised algorithms for nonlinear dimensionality reduction, such as locally linear embedding (LLE) and Laplacian eigenmaps, are derived from the spectral decompositions o...