296 search results - page 33 / 60 » How to process uncertainty in machine learning |
ICML
2002
IEEE
14 years 9 months ago
2002
IEEE
This paper addresses cost-sensitive classification in the setting where there are costs for measuring each attribute as well as costs for misclassification errors. We show how to ...
ICALT
2009
IEEE
14 years 3 months ago
2009
IEEE
Scientific practices increasingly incorporate sensors for data capture, information visualization for data analysis, and low-cost mobile devices for fieldbased inquiries incorpora...
ICRA
2008
IEEE
14 years 3 months ago
2008
IEEE
— Motion and sensor models are crucial components in current algorithms for mobile robot localization and mapping. These models are typically provided and hand-tuned by a human o...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
ALT
2005
Springer
14 years 5 months ago
2005
Springer
In language learning, strong relationships between Gold-style models and query models have recently been observed: in some quite general setting Gold-style learners can be replaced...