4660 search results - page 561 / 932 » Learning from imperfect data |
111
Voted
ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
In this paper, we review the paradigm of inductive process modeling, which uses background knowledge about possible component processes to construct quantitative models of dynamic...
129
Voted
ICML
1998
IEEE
16 years 4 months ago
1998
IEEE
Stochastic topological models, and hidden Markov models in particular, are a useful tool for robotic navigation and planning. In previous work we have shown how weak odometric dat...
87
Voted
KDD
2005
ACM
16 years 4 months ago
2005
ACM
In several organizations, it has become increasingly popular to document and log the steps that makeup a typical business process. In some situations, a normative workflow model o...
150
click to vote
SAC
2010
ACM
15 years 10 months ago
2010
ACM
Ordinal regression (also known as ordinal classification) is a supervised learning task that consists of automatically determining the implied rating of a data item on a fixed, ...
126
Voted
ECML
2007
Springer
15 years 9 months ago
2007
Springer
Boosting is a simple yet powerful modeling technique that is used in many machine learning and data mining related applications. In this paper, we propose a novel scale-space based...