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NIPS
2007
13 years 7 months ago
A General Boosting Method and its Application to Learning Ranking Functions for Web Search
We present a general boosting method extending functional gradient boosting to optimize complex loss functions that are encountered in many machine learning problems. Our approach...
Zhaohui Zheng, Hongyuan Zha, Tong Zhang, Olivier C...
ECML
2007
Springer
14 years 12 days ago
A Simple Lexicographic Ranker and Probability Estimator
Given a binary classification task, a ranker sorts a set of instances from highest to lowest expectation that the instance is positive. We propose a lexicographic ranker, LexRank,...
Peter A. Flach, Edson Takashi Matsubara
CSDA
2007
136views more  CSDA 2007»
13 years 6 months ago
A note on iterative marginal optimization: a simple algorithm for maximum rank correlation estimation
The maximum rank correlation (MRC) estimator was originally studied by Han [1987. Nonparametric analysis of a generalized regression model. J. Econometrics 35, 303–316] and Sher...
Hansheng Wang
ICPR
2010
IEEE
13 years 4 months ago
Ranking Model for Facial Age Estimation
Feature design and feature selection are two key problems in facial image based age perception. In this paper, we proposed to using ranking model to do feature selection on the ha...
Peng Yang, Lin Zhong, Dimitris N. Metaxas
CORR
2008
Springer
114views Education» more  CORR 2008»
13 years 6 months ago
A Simple Linear Ranking Algorithm Using Query Dependent Intercept Variables
The LETOR website contains three information retrieval datasets used as a benchmark for testing machine learning ideas for ranking. Algorithms participating in the challenge are re...
Nir Ailon