Sciweavers

1160 search results - page 1 / 232
» Combined regression and ranking
Sort
View
KDD
2010
ACM
275views Data Mining» more  KDD 2010»
15 years 4 months ago
Combined regression and ranking
Many real-world data mining tasks require the achievement of two distinct goals when applied to unseen data: first, to induce an accurate preference ranking, and second to give g...
D. Sculley
CORR
2012
Springer
214views Education» more  CORR 2012»
13 years 9 months ago
Stochastic Low-Rank Kernel Learning for Regression
We present a novel approach to learn a kernelbased regression function. It is based on the use of conical combinations of data-based parameterized kernels and on a new stochastic ...
Pierre Machart, Thomas Peel, Liva Ralaivola, Sandr...
SIGIR
2006
ACM
15 years 7 months ago
Learning a ranking from pairwise preferences
We introduce a novel approach to combining rankings from multiple retrieval systems. We use a logistic regression model or an SVM to learn a ranking from pairwise document prefere...
Ben Carterette, Desislava Petkova
132
Voted
WSDM
2010
ACM
211views Data Mining» more  WSDM 2010»
15 years 6 months ago
IntervalRank - Isotonic Regression with Listwise and Pairwise Constraints
Ranking a set of retrieved documents according to their relevance to a given query has become a popular problem at the intersection of web search, machine learning, and informatio...
Taesup Moon, Alex Smola, Yi Chang, Zhaohui Zheng
ICIP
2010
IEEE
14 years 11 months ago
Palmprint recognition using rank level fusion
This paper investigates a new approach for the personal recognition using rank level combination of multiple palmprint representations. There has been very little effort to study r...
Ajay Kumar, Sumit Shekhar