1323 search results - page 167 / 265 » Feature Extraction for Machine Learning: Logic-Probabilistic... |
ALT
2002
Springer
14 years 7 months ago
2002
Springer
We describe a new boosting algorithm that is the first such algorithm to be both smooth and adaptive. These two features make possible performance improvements for many learning ...
ICML
2009
IEEE
14 years 11 months ago
2009
IEEE
There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling such models to full-sized, high-dimensional images re...
ICALT
2006
IEEE
14 years 4 months ago
2006
IEEE
– Generating LOM for learning material is a complex and tedious task to be manually completed. Therefore, the current trend is to automate this process. However, there are severa...
ICML
2010
IEEE
13 years 12 months ago
2010
IEEE
We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...
ICML
2010
IEEE
13 years 12 months ago
2010
IEEE
Markov logic networks (MLNs) use firstorder formulas to define features of Markov networks. Current MLN structure learners can only learn short clauses (4-5 literals) due to extre...