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» Combined regression and ranking
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APAL
2004
73views more  APAL 2004»
14 years 9 months ago
Shrinking games and local formulas
Gaifman's normal form theorem showed that every first order sentence of quantifier rank n is equivalent to a Boolean combination of "scattered local sentences", whe...
H. Jerome Keisler, Wafik Boulos Lotfallah
CORR
2008
Springer
127views Education» more  CORR 2008»
14 years 10 months ago
Comparing and Combining Methods for Automatic Query Expansion
Abstract. Query expansion is a well known method to improve the performance of information retrieval systems. In this work we have tested different approaches to extract the candid...
José R. Pérez-Agüera, Lourdes A...
DAGM
2008
Springer
14 years 11 months ago
Example-Based Learning for Single-Image Super-Resolution
Abstract. This paper proposes a regression-based method for singleimage super-resolution. Kernel ridge regression (KRR) is used to estimate the high-frequency details of the underl...
Kwang In Kim, Younghee Kwon
ALENEX
2009
172views Algorithms» more  ALENEX 2009»
14 years 7 months ago
Rank Aggregation: Together We're Strong
We consider the problem of finding a ranking of a set of elements that is "closest to" a given set of input rankings of the elements; more precisely, we want to find a p...
Frans Schalekamp, Anke van Zuylen
ML
2010
ACM
185views Machine Learning» more  ML 2010»
14 years 4 months ago
Learning to rank on graphs
Graph representations of data are increasingly common. Such representations arise in a variety of applications, including computational biology, social network analysis, web applic...
Shivani Agarwal