90 search results - page 9 / 18 » Supervised Inductive Learning with Lotka-Volterra Derived Mo... |
ML
2002
ACM
13 years 7 months ago
2002
ACM
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
ML
2008
ACM
13 years 7 months ago
2008
ACM
Abstract. We revisit an application developed originally using Inductive Logic Programming (ILP) by replacing the underlying Logic Program (LP) description with Stochastic Logic Pr...
ECCV
2006
Springer
14 years 9 months ago
2006
Springer
Bottom-up segmentation based only on low-level cues is a notoriously difficult problem. This difficulty has lead to recent top-down segmentation algorithms that are based on class-...
ALT
2000
Springer
14 years 4 months ago
2000
Springer
This paper provides a systematic study of inductive inference of indexable concept classes in learning scenarios in which the learner is successful if its final hypothesis describ...