3076 search results - page 16 / 616 » Active Learning for Networked Data |
MANSCI
2006
14 years 11 months ago
2006
This paper presents a new information acquisition problem motivated by business applications where customer data has to be acquired with a specific modeling objective in mind. In ...
ICML
2009
IEEE
16 years 15 days ago
2009
IEEE
We propose an importance weighting framework for actively labeling samples. This technique yields practical yet sound active learning algorithms for general loss functions. Experi...
110
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BIBE
2008
IEEE
15 years 1 months ago
2008
IEEE
Bayesian network structure learning is a useful tool for elucidation of regulatory structures of biomolecular pathways. The approach however is limited by its acyclicity constraint...
GIS
2009
ACM
15 years 6 months ago
2009
ACM
109
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GECCO
2009
Springer
15 years 4 months ago
2009
Springer
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...