378 search results - page 13 / 76 » Learning to Rank with Supplementary Data |
RECSYS
2009
ACM
14 years 2 months ago
2009
ACM
A fundamental aspect of rating-based recommender systems is the observation process, the process by which users choose the items they rate. Nearly all research on collaborative ...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
This paper gives an efficient Bayesian method for inferring the parameters of a PlackettLuce ranking model. Such models are parameterised distributions over rankings of a finite s...
NIPS
2003
13 years 9 months ago
2003
Label ranking is the task of inferring a total order over a predefined set of labels for each given instance. We present a general framework for batch learning of label ranking f...
IR
2011
13 years 2 months ago
2011
In this paper, we evaluate a number of machine learning techniques for the task of ranking answers to why-questions. We use TF-IDF together with a set of 36 linguistically motivate...
CVPR
2010
IEEE
14 years 4 months ago
2010
IEEE
In this paper, we deal with a generative model for multi-label, interactive segmentation. To estimate the pixel likelihoods for each label, we propose a new higher-order formulatio...