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CEC
2009
IEEE
16 years 11 days ago
Structure learning and optimisation in a Markov-network based estimation of distribution algorithm
—Structure learning is a crucial component of a multivariate Estimation of Distribution algorithm. It is the part which determines the interactions between variables in the proba...
Alexander E. I. Brownlee, John A. W. McCall, Siddh...
WSDM
2010
ACM
215views Data Mining» more  WSDM 2010»
16 years 3 months ago
GeoFolk: Latent spatial semantics in Web 2.0 social media
We describe an approach for multi-modal characterization of social media by combining text features (e.g. tags as a prominent example of short, unstructured text labels) with spat...
Sergej Sizov
ICANN
2005
Springer
15 years 11 months ago
A Neural Network for Text Representation
Text categorization and retrieval tasks are often based on a good representation of textual data. Departing from the classical vector space model, several probabilistic models have...
Mikaela Keller, Samy Bengio
SIGIR
2006
ACM
15 years 11 months ago
Combining fields in known-item email search
Emails are examples of structured documents with various fields. These fields can be exploited to enhance the retrieval effectiveness of an Information Retrieval (IR) system th...
Craig Macdonald, Iadh Ounis
131
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ECIR
2009
Springer
16 years 2 months ago
Revisiting N-Gram Based Models for Retrieval in Degraded Large Collections
The traditional retrieval models based on term matching are not effective in collections of degraded documents (output of OCR or ASR systems for instance). This paper presents a n...
Javier Parapar, Ana Freire, Alvaro Barreiro