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» Automated design of scoring rules by learning from examples
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CIKM
2005
Springer
14 years 1 months ago
Discretization based learning approach to information retrieval
We approached the problem as learning how to order documents by estimated relevance with respect to a user query. Our support vector machines based classifier learns from the rele...
Dmitri Roussinov, Weiguo Fan, Fernando A. Das Neve...
ICTAI
2008
IEEE
14 years 2 months ago
Information Extraction as an Ontology Population Task and Its Application to Genic Interactions
Ontologies are a well-motivated formal representation to model knowledge needed to extract and encode data from text. Yet, their tight integration with Information Extraction (IE)...
Alain-Pierre Manine, Érick Alphonse, Philip...
PUC
2007
154views more  PUC 2007»
13 years 7 months ago
Point-of-capture archiving and editing of personal experiences from a mobile device
Personal experience computing is an emerging research area in computing support for capturing, archiving, editing, and utilizing of digital personal experiences. This paper presen...
Chon-in Wu, Chao-ming Teng, Yi-Chao Chen, Tung-yun...
SIGMOD
2008
ACM
120views Database» more  SIGMOD 2008»
14 years 7 months ago
Muse: a system for understanding and designing mappings
Schema mappings are logical assertions that specify the relationships between a source and a target schema in a declarative way. The specification of such mappings is a fundamenta...
Bogdan Alexe, Laura Chiticariu, Renée J. Mi...
IJCV
2008
192views more  IJCV 2008»
13 years 7 months ago
Learning to Locate Informative Features for Visual Identification
Object identification (OID) is specialized recognition where the category is known (e.g. cars) and the algorithm recognizes an object's exact identity (e.g. Bob's BMW). ...
Andras Ferencz, Erik G. Learned-Miller, Jitendra M...