1405 search results - page 100 / 281 » Learning Instance-Specific Predictive Models |
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
The supremacy of n-gram models in statistical language modelling has recently been challenged by parametric models that use distributed representations to counteract the difficult...
DSMML
2004
Springer
14 years 2 months ago
2004
Springer
Learning curves for Gaussian process (GP) regression can be strongly affected by a mismatch between the ‘student’ model and the ‘teacher’ (true data generation process), e...
BMVC
2010
13 years 6 months ago
2010
Gaussian processes have been widely used as a method for inferring the pose of articulated bodies directly from image data. While able to model complex non-linear functions, they ...
STOC
1997
ACM
14 years 1 months ago
1997
ACM
Abstract. We study online learning algorithms that predict by combining the predictions of several subordinate prediction algorithms, sometimes called “experts.” These simple a...
IJCAI
2007
13 years 10 months ago
2007
Recently, significant progress has been made on learning structured predictors via coordinated training algorithms such as conditional random fields and maximum margin Markov ne...