3276 search results - page 95 / 656 » Data learning based diagnosis |
109
Voted
MLDM
2007
Springer
15 years 6 months ago
2007
Springer
Transduction is an inference mechanism “from particular to particular”. Its application to classification tasks implies the use of both labeled (training) data and unlabeled (...
94
Voted
IJCAI
2001
15 years 2 months ago
2001
The task of causal structure discovery from empirical data is a fundamental problem in many areas. Experimental data is crucial for accomplishing this task. However, experiments a...
101
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NIPS
2000
15 years 1 months ago
2000
Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...
116
Voted
ITS
2010
Springer
15 years 5 months ago
2010
Springer
The traditional, well established approach to finding out what works in education research is to run a randomized controlled trial (RCT) using a standard pretest and posttest desig...
174
Voted
SIGMOD
2006
ACM
16 years 23 days ago
2006
ACM
As data streams are gaining prominence in a growing number of emerging application domains, classification on data streams is becoming an active research area. Currently, the typi...