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» Using Inverse Resolution to Learn Relations from Experiments
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WSDM
2012
ACM
352views Data Mining» more  WSDM 2012»
13 years 5 months ago
Multi-relational matrix factorization using bayesian personalized ranking for social network data
A key element of the social networks on the internet such as Facebook and Flickr is that they encourage users to create connections between themselves, other users and objects. On...
Artus Krohn-Grimberghe, Lucas Drumond, Christoph F...
ICASSP
2008
IEEE
15 years 4 months ago
Discriminative feature weighting using MCE training for topic identification of spoken audio recordings
In this paper we investigate a discriminative approach to feature weighting for topic identification using minimum classification error (MCE) training. Our approach learns featu...
Timothy J. Hazen, Anna Margolis
ECML
2003
Springer
15 years 2 months ago
A Hybrid Language Model based on Stochastic Context-free Grammars
Abstract. This paper explores the use of initial Stochastic Context-Free Grammars (SCFG) obtained from a treebank corpus for the learning of SCFG by means of estimation algorithms....
Diego Linares, José-Miguel Benedí, J...
IDA
2005
Springer
15 years 3 months ago
Bayesian Networks Learning for Gene Expression Datasets
DNA arrays yield a global view of gene expression and can be used to build genetic networks models, in order to study relations between genes. Literature proposes Bayesian network ...
Giacomo Gamberoni, Evelina Lamma, Fabrizio Riguzzi...
ECCV
2010
Springer
15 years 3 months ago
Programmable Aperture Camera Using LCoS
Since 1960s, aperture patterns have been studied extensively and a variety of coded apertures have been proposed for various applications, including extended depth of field, defocu...
Hajime Nagahara, Changyin Zhou, Takuya Watanabe, H...