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» Learning from Logged Implicit Exploration Data
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SIGIR
2010
ACM
13 years 11 months ago
Comparing click-through data to purchase decisions for retrieval evaluation
Traditional retrieval evaluation uses explicit relevance judgments which are expensive to collect. Relevance assessments inferred from implicit feedback such as click-through data...
Katja Hofmann, Bouke Huurnink, Marc Bron, Maarten ...
DIS
2009
Springer
14 years 1 months ago
MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio
Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
Yasser El-Manzalawy, Vasant Honavar
SIGOPS
2010
89views more  SIGOPS 2010»
13 years 5 months ago
Incremental learning of system log formats
System logs come in a large and evolving variety of formats, many of which are semi-structured and/or non-standard. As a consequence, off-the-shelf tools for processing such logs ...
Kenny Qili Zhu, Kathleen Fisher, David Walker
CORR
2011
Springer
239views Education» more  CORR 2011»
13 years 2 months ago
From Linked Data to Relevant Data -- Time is the Essence
The Semantic Web initiative puts emphasis not primarily on putting data on the Web, but rather on creating links in a way that both humans and machines can explore the Web of data...
Markus Kirchberg, Ryan K. L. Ko, Bu Sung Lee
BMVC
2010
13 years 5 months ago
Back to the Future: Learning Shape Models from 3D CAD Data
Recognizing 3D objects from arbitrary view points is one of the most fundamental problems in computer vision. A major challenge lies in the transition between the 3D geometry of o...
Michael Stark, Michael Goesele, Bernt Schiele