544 search results - page 37 / 109 » Active Learning with Model Selection in Linear Regression |
105
Voted
IJCAI
2001
15 years 3 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...
158
Voted
INTERSPEECH
2010
14 years 8 months ago
2010
Stochastic dependency parsers can achieve very good results when they are trained on large corpora that have been manually annotated. Active learning is a procedure that aims at r...
141
Voted
ISCI
2008
15 years 1 months ago
2008
This paper considers nonlinear modeling based on a limited amount of experimental data and a simulator built from prior knowledge. The problem of how to best incorporate the data ...
123
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CGF
2007
15 years 1 months ago
2007
Represented in a Morphable Model, 3D faces follow curved trajectories in face space as they age. We present a novel algorithm that computes the individual aging trajectories for g...
100
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ICML
1997
IEEE
16 years 2 months ago
1997
IEEE
Abstract: We investigate the structure of model selection problems via the bias/variance decomposition. In particular, we characterize the essential structure of a model selection ...