273 search results - page 42 / 55 » Learning the Structure of Deep Sparse Graphical Models |
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
Attribute interactions are the irreducible dependencies between attributes. Interactions underlie feature relevance and selection, the structure of joint probability and classific...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
Structured output prediction is an important machine learning problem both in theory and practice, and the max-margin Markov network (M3 N) is an effective approach. All state-of-...
SIGCSE
2008
ACM
13 years 6 months ago
2008
ACM
We present the design and development of a Visual Learning Engine, a tool that can form the basis for interactive development of visually rich teaching and learning modules across...
NIPS
2008
13 years 9 months ago
2008
Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unatta...
IJON
2006
13 years 7 months ago
2006
The neurons in the mammalian visual cortex are arranged in columnar structures, and the synaptic contacts of the pyramidal neurons in layer II/III are clustered into patches that ...