4773 search results - page 76 / 955 » Learning from Uncertain Data |
PR
2007
13 years 8 months ago
2007
This paper presents a novel method for reconstructing a 3D human body pose from stereo image sequences based on a top-down learning method. However, it is inefficient to build a ...
IDA
2005
Springer
14 years 2 months ago
2005
Springer
Inducing a classification function from a set of examples in the form of labeled instances is a standard problem in supervised machine learning. In this paper, we are concerned w...
EUSFLAT
2007
13 years 10 months ago
2007
Probability intervals are imprecise probability assignments over elementary events. They constitute a very convenient tool to model uncertain information : two common cases are co...
WSC
1998
13 years 10 months ago
1998
A simulation model is composed of inputs and logic; the inputs represent the uncertainty or randomness in the system, while the logic determines how the system reacts to the uncer...
SAINT
2005
IEEE
14 years 2 months ago
2005
IEEE
This paper discusses a methodology for applying general-purpose first-order inductive learning to extract information from Web documents structured as unranked ordered trees. The...