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» Learning Classifiers from Semantically Heterogeneous Data
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DGO
2011
264views Education» more  DGO 2011»
12 years 9 months ago
Developing an ontology for the U.S. patent system
The past few years have experienced an explosive growth in scientific and regulatory documents related to the patent system. Relevant information is siloed into many heterogeneous...
Siddharth Taduri, Gloria T. Lau, Kincho H. Law, Ha...
ECTEL
2007
Springer
14 years 3 months ago
LOCO-Analyst: A Tool for Raising Teachers' Awareness in Online Learning Environments
The paper presents LOCO-Analyst, an educational tool for providing teachers with feedback on the relevant aspects of the learning process taking place in a web-based learning envir...
Jelena Jovanovic, Dragan Gasevic, Christopher A. B...
ECCV
2008
Springer
14 years 11 months ago
Weakly Supervised Object Localization with Stable Segmentations
Multiple Instance Learning (MIL) provides a framework for training a discriminative classifier from data with ambiguous labels. This framework is well suited for the task of learni...
Carolina Galleguillos, Boris Babenko, Andrew Rabin...
VLDB
1998
ACM
117views Database» more  VLDB 1998»
14 years 1 months ago
DTL's DataSpot: Database Exploration Using Plain Language
DTL's DataSpot is a database publishing tool that enables non-technical end users to explore a database using free-form plain language queries combined with hypertext navigat...
Shaul Dar, Gadi Entin, Shai Geva, Eran Palmon
SIGMOD
2010
ACM
250views Database» more  SIGMOD 2010»
13 years 10 months ago
Expressive and flexible access to web-extracted data: a keyword-based structured query language
Automated extraction of structured data from Web sources often leads to large heterogeneous knowledge bases (KB), with data and schema items numbering in the hundreds of thousands...
Jeffrey Pound, Ihab F. Ilyas, Grant E. Weddell