613 search results - page 66 / 123 » Learning the Structure of Linear Latent Variable Models |
ML
2008
ACM
13 years 8 months ago
2008
ACM
Let f be a function on Rd that is monotonic in every variable. There are 2d possible assignments to the directions of monotonicity (two per variable). We provide sufficient condit...
JMLR
2010
13 years 3 months ago
2010
Analysis of causal effects between continuous-valued variables typically uses either autoregressive models or structural equation models with instantaneous effects. Estimation of ...
ICML
2004
IEEE
14 years 9 months ago
2004
IEEE
Markov networks are extensively used to model complex sequential, spatial, and relational interactions in fields as diverse as image processing, natural language analysis, and bio...
ICANN
2003
Springer
14 years 2 months ago
2003
Springer
We consider the Contextual Recursive Cascade Correlation model (CRCC), a model able to learn contextual mappings in structured domains. We propose a formal characterization of the ...
CORR
2012
Springer
12 years 4 months ago
2012
Springer
We present sparse topical coding (STC), a non-probabilistic formulation of topic models for discovering latent representations of large collections of data. Unlike probabilistic t...