662 search results - page 7 / 133 » Making inferences with small numbers of training sets |
AAAI
2000
13 years 9 months ago
2000
Systems that learn from examples often express the learned concept in the form of a disjunctive description. Disjuncts that correctly classify few training examples are known as s...
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
We consider the problem of estimating detailed 3-d structure from a single still image of an unstructured environment. Our goal is to create 3-d models which are both quantitative...
ACL
2010
13 years 5 months ago
2010
Learning a tree substitution grammar is very challenging due to derivational ambiguity. Our recent approach used a Bayesian non-parametric model to induce good derivations from tr...
PKDD
2009
Springer
14 years 2 months ago
2009
Springer
We explore an algorithm for training SVMs with Kernels that can represent the learned rule using arbitrary basis vectors, not just the support vectors (SVs) from the training set. ...
CVPR
2011
IEEE
13 years 3 months ago
2011
IEEE
Training of conditional random fields often takes the form of a double-loop procedure with message-passing inference in the inner loop. This can be very expensive, as the need to...