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» Results Merging Algorithm Using Multiple Regression Models
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CIKM
2011
Springer
13 years 9 months ago
Learning to aggregate vertical results into web search results
Aggregated search is the task of integrating results from potentially multiple specialized search services, or verticals, into the Web search results. The task requires predicting...
Jaime Arguello, Fernando Diaz, Jamie Callan
MA
2010
Springer
172views Communications» more  MA 2010»
14 years 8 months ago
On Monte Carlo methods for Bayesian multivariate regression models with heavy-tailed errors
We consider Bayesian analysis of data from multivariate linear regression models whose errors have a distribution that is a scale mixture of normals. Such models are used to analy...
Vivekananda Roy, James P. Hobert
CDC
2010
IEEE
145views Control Systems» more  CDC 2010»
14 years 4 months ago
Multivariable frequency domain identification using IV-based linear regression
Abstract-- Identification of output error models from frequency domain data generally results in a non-convex optimization problem. A well-known method to approach the output error...
Rogier S. Blom, Paul M. J. Van den Hof
VLDB
1997
ACM
80views Database» more  VLDB 1997»
15 years 1 months ago
Merging Ranks from Heterogeneous Internet Sources
Many sources on the Internet and elsewhere rank the objects in query results according to how well these objects match the original query. For example, a real-estate agent might r...
Luis Gravano, Hector Garcia-Molina
68
Voted
IJON
2007
114views more  IJON 2007»
14 years 9 months ago
Ridgelet kernel regression
In this paper, a ridgelet kernel regression model is proposed for approximation of high dimensional functions. It is based on ridgelet theory, kernel and regularization technology ...
Shuyuan Yang, Min Wang, Licheng Jiao