26 search results - page 3 / 6 » On Over-fitting in Model Selection and Subsequent Selection ... |
UAI
2004
13 years 7 months ago
2004
Classical learning assumes the learner is given a labeled data sample, from which it learns a model. The field of Active Learning deals with the situation where the learner begins...
ICPR
2010
IEEE
13 years 11 months ago
2010
IEEE
Abstract—Due to their ability to model sequential data without making unnecessary independence assumptions, conditional random fields (CRFs) have become an increasingly popular ...
APGV
2006
ACM
13 years 11 months ago
2006
ACM
Measures of dissimilarity of 3D models are necessary in a wide range of applications such as geometry compression, simplification, and 3D model retrieval. In many cases a metric ...
IPPS
2010
IEEE
13 years 3 months ago
2010
IEEE
Peta-scale scientific applications running on High End Computing (HEC) platforms can generate large volumes of data. For high performance storage and in order to be useful to scien...
PAKDD
2004
ACM
13 years 11 months ago
2004
ACM
In many cases, normal uses of a system form patterns that will repeat. The most common patterns can be collected into a prediction model which will essentially predict that usage p...