23 search results - page 1 / 5 » Structure Evolution and Incomplete Induction |
PPSN
1992
Springer
13 years 9 months ago
1992
Springer
We present an application of arti cial neural networks to machine condition monitoring. Since several signal preprocessing methods produce high dimensional feature vectors there i...
KDD
2005
ACM
14 years 5 months ago
2005
ACM
Abstract. To make accurate recommendations, recommendation systems currently require more data about a customer than is usually available. We conjecture that the weaknesses are due...
ER
2004
Springer
13 years 10 months ago
2004
Springer
Our goal is to model the way people induce knowledge from rare and sparse data. This paper describes a theoretical framework for inducing knowledge from these incomplete data descr...
PAMI
1998
13 years 4 months ago
1998
This paper describes a framework for the estimation of shape from sparse or incomplete range data. It uses a shape representation called blending, which allows for the geometric c...
JODS
2007
13 years 4 months ago
2007
This paper describes a theoretical framework for inducing knowledge from incomplete data sets. The general framework can be used with any formalism based on a lattice structure. It...