468 search results - page 4 / 94 » A Hierarchical Latent Variable Model for Data Visualization |
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
Supervised learning is difficult with high dimensional input spaces and very small training sets, but accurate classification may be possible if the data lie on a low-dimensional ...
BMCBI
2011
12 years 11 months ago
2011
Background: Discovering the genetic basis of common genetic diseases in the human genome represents a public health issue. However, the dimensionality of the genetic data (up to 1...
NIPS
2007
13 years 9 months ago
2007
We demonstrate that log-linear grammars with latent variables can be practically trained using discriminative methods. Central to efficient discriminative training is a hierarchi...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
Some models of textual corpora employ text generation methods involving n-gram statistics, while others use latent topic variables inferred using the "bag-of-words" assu...
ICTAI
2005
IEEE
14 years 1 months ago
2005
IEEE
In this paper, we propose a novel stochastic framework for unsupervised manifold learning. The latent variables are introduced, and the latent processes are assumed to characteriz...