364 search results - page 6 / 73 » Guiding Model Search Using Segmentation |
ECAI
2004
Springer
15 years 2 months ago
2004
Springer
Attempts to use finite models to guide the search for proofs by resolution and the like in first order logic all suffer from the need to trade off the expense of generating and m...
ILP
2007
Springer
15 years 3 months ago
2007
Springer
Stochastically searching the space of candidate clauses is an appealing way to scale up ILP to large datasets. We address an approach that uses a Bayesian network model to adaptive...
69
Voted
ICANN
2007
Springer
15 years 3 months ago
2007
Springer
Support Vector Machines (SVMs) for classification tasks produce sparse models by maximizing the margin. Two limitations of this technique are considered in this work: firstly, th...
109
Voted
SCALESPACE
2009
Springer
15 years 4 months ago
2009
Springer
In this paper, we present a new non-parametric combined segmentation and registration method. The problem is cast as an optimization one, combining a matching criterion based on th...
100
click to vote
ML
2000
ACM
14 years 9 months ago
2000
ACM
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...