662 search results - page 10 / 133 » Making inferences with small numbers of training sets |
NIPS
2004
13 years 9 months ago
2004
We describe how we used a data set of chorale harmonisations composed by Johann Sebastian Bach to train Hidden Markov Models. Using a probabilistic framework allows us to create a...
AAAI
2007
13 years 10 months ago
2007
Treebank parsing can be seen as the search for an optimally refined grammar consistent with a coarse training treebank. We describe a method in which a minimal grammar is hierarc...
JMLR
2010
13 years 2 months ago
2010
We adopt the Relevance Vector Machine (RVM) framework to handle cases of tablestructured data such as image blocks and image descriptors. This is achieved by coupling the regulari...
INFOCOM
2008
IEEE
14 years 2 months ago
2008
IEEE
—Knowledge of the network path properties such as latency, hop count, loss and bandwidth is key to the performance of overlay networks, grids and p2p applications. Network operat...
AAAI
2008
13 years 10 months ago
2008
Probabilistic modeling has been a dominant approach in Machine Learning research. As the field evolves, the problems of interest become increasingly challenging and complex. Makin...