997 search results - page 38 / 200 » Learning Rule Representations from Boolean Data |
120
Voted
GECCO
2009
Springer
15 years 5 months ago
2009
Springer
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
WWW
2004
ACM
16 years 1 months ago
2004
ACM
The ontological representation of learning objects is a way to deal with the interoperability and reusability of learning objects (including metadata) through providing a semantic...
103
Voted
IJCAI
2007
15 years 2 months ago
2007
Statistical relational learning (SRL) algorithms learn statistical models from relational data, such as that stored in a relational database. We previously introduced view learnin...
110
Voted
ECCV
2002
Springer
16 years 2 months ago
2002
Springer
Abstract. In many vision problems, the observed data lies in a nonlinear manifold in a high-dimensional space. This paper presents a generic modelling scheme to characterize the no...
109
Voted
NN
2008
Springer
15 years 14 days ago
2008
Springer
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...