1183 search results - page 1 / 237 » Learning Process Models with Missing Data |
ECML
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. In this paper, we review the task of inductive process modeling, which uses domain knowledge to compose explanatory models of continuous dynamic systems. Next we discuss ...
RECSYS
2009
ACM
13 years 11 months ago
2009
ACM
A fundamental aspect of rating-based recommender systems is the observation process, the process by which users choose the items they rate. Nearly all research on collaborative ï¬...
ICIP
2000
IEEE
14 years 6 months ago
2000
IEEE
We present an estimation-theoretic approach to curve evolution for the Mumford-Shah problem. By viewing an active contour as the set of discontinuities in the Mumford-Shah problem...
ICML
1997
IEEE
14 years 5 months ago
1997
IEEE
In recent years there has been a flurry of works on learning probabilistic belief networks. Current state of the art methods have been shown to be successful for two learning scen...
DKE
2008
13 years 5 months ago
2008
Handling missing data is a critical step to ensuring good results in data mining. Like most data mining algorithms, existing privacy-preserving data mining algorithms assume data ...