296 search results - page 1 / 60 » How to process uncertainty in machine learning |
ESANN
2007
13 years 6 months ago
2007
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
EMNLP
2009
13 years 2 months ago
2009
Machine involvement has the potential to speed up language documentation. We assess this potential with timed annotation experiments that consider annotator expertise, example sel...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
Markov decision processes are an effective tool in modeling decision-making in uncertain dynamic environments. Since the parameters of these models are typically estimated from da...
ICALT
2008
IEEE
13 years 11 months ago
2008
IEEE
Standardisation of learning technologies as a coordinated design activity needs legitimacy to attract the necessary support from its stakeholders. This paper identifies the need f...
HRI
2010
ACM
13 years 11 months ago
2010
ACM
—Mobile robots that interact with humans in an intuitive way must be able to follow directions provided by humans in unconstrained natural language. In this work we investigate h...