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» Combined regression and ranking
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APAL
2004
73views more  APAL 2004»
13 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»
13 years 9 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
13 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»
13 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»
13 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