995 search results - page 102 / 199 » Learning Useful Horn Approximations |
117
Voted
ICML
2005
IEEE
16 years 1 months ago
2005
IEEE
We present a novel algorithm for agglomerative hierarchical clustering based on evaluating marginal likelihoods of a probabilistic model. This algorithm has several advantages ove...
97
Voted
SIGIR
2008
ACM
15 years 18 days ago
2008
ACM
Many ranking models have been proposed in information retrieval, and recently machine learning techniques have also been applied to ranking model construction. Most of the existin...
86
Voted
CVPR
2003
IEEE
16 years 2 months ago
2003
IEEE
Inhomogeneous Gibbs model (IGM) [4] is an effective maximum entropy model in characterizing complex highdimensional distributions. However, its training process is so slow that th...
102
Voted
NIPS
2004
15 years 2 months ago
2004
Schema learning is a way to discover probabilistic, constructivist, predictive action models (schemas) from experience. It includes methods for finding and using hidden state to m...
126
Voted
CVPR
2007
IEEE
16 years 2 months ago
2007
IEEE
Many low-level vision algorithms assume a prior probability over images, and there has been great interest in trying to learn this prior from examples. Since images are very non G...