1364 search results - page 144 / 273 » Sampling Methods for Unsupervised Learning |
124
Voted
ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...
89
Voted
IJON
2010
15 years 1 months ago
2010
This paper presents varifold learning, a learning framework based on the mathematical concept of varifolds. Different from manifold based methods, our varifold learning framework ...
131
Voted
NIPS
2007
15 years 4 months ago
2007
We investigate the problem of learning a widely-used latent-variable model – the Latent Dirichlet Allocation (LDA) or “topic” model – using distributed computation, where ...
132
Voted
CVPR
2010
IEEE
15 years 10 months ago
2010
IEEE
Learning object categories from small samples is a challenging problem, where machine learning tools can in general provide very few guarantees. Exploiting prior knowledge may be ...
126
Voted
PAMI
2006
15 years 2 months ago
2006
Nonparametric neighborhood methods for learning entail estimation of class conditional probabilities based on relative frequencies of samples that are "near-neighbors" of...