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» Extractive summarization using a latent variable model
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WWW
2010
ACM
14 years 2 months ago
Using landing pages for sponsored search ad selection
We explore the use of the landing page content in sponsored search ad selection. Specifically, we compare the use of the ad’s intrinsic content to augmenting the ad with the wh...
Yejin Choi, Marcus Fontoura, Evgeniy Gabrilovich, ...
GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
14 years 1 months ago
Nonlinear feature extraction using a neuro genetic hybrid
Feature extraction is a process that extracts salient features from observed variables. It is considered a promising alternative to overcome the problems of weight and structure o...
Yung-Keun Kwon, Byung Ro Moon
ISBI
2002
IEEE
14 years 8 months ago
Capturing contextual dependencies in medical imagery using hierarchical multi-scale models
In this paper we summarize our results for two classes of hierarchical multi-scale models that exploit contextual information for detection of structure in mammographic imagery. T...
Paul Sajda, Clay Spence, Lucas C. Parra
CSDA
2010
165views more  CSDA 2010»
13 years 7 months ago
A two-component Weibull mixture to model early and late mortality in a Bayesian framework
A two component parametric mixture is proposed to model survival after an invasive treatment, when patients may experience different hazards regimes: a risk of early mortality dir...
Alessio Farcomeni, Alessandra Nardi
NAACL
2010
13 years 5 months ago
Context-free reordering, finite-state translation
We describe a class of translation model in which a set of input variants encoded as a context-free forest is translated using a finitestate translation model. The forest structur...
Christopher Dyer, Philip Resnik