750 search results - page 129 / 150 » Learning SVMs from Sloppily Labeled Data |
ACL
2012
12 years 1 months ago
2012
We argue that multilingual parallel data provides a valuable source of indirect supervision for induction of shallow semantic representations. Specifically, we consider unsupervi...
KI
2007
Springer
14 years 4 months ago
2007
Springer
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract and label a person’s activities and signi...
IDEAL
2009
Springer
14 years 5 months ago
2009
Springer
Abstract. Analysis of data without labels is commonly subject to scrutiny by unsupervised machine learning techniques. Such techniques provide more meaningful representations, usef...
ADMA
2006
Springer
14 years 4 months ago
2006
Springer
The automatic annotation of images presents a particularly complex problem for machine learning researchers. In this work we experiment with semantic models and multi-class learnin...
KDD
2002
ACM
14 years 11 months ago
2002
ACM
We propose mixtures of hidden Markov models for modelling clickstreams of web surfers. Hence, the page categorization is learned from the data without the need for a (possibly cumb...