378 search results - page 35 / 76 » Learning to Rank with Supplementary Data |
ICDM
2005
IEEE
14 years 1 months ago
2005
IEEE
The preference model introduced in this paper gives a natural framework and a principled solution for a broad class of supervised learning problems with structured predictions, su...
AUSDM
2007
Springer
14 years 2 months ago
2007
Springer
In the course of reviewing existing automatic term recognition techniques for applications in ontology learning, we came across four issues which can be improved upon. We proposed...
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
We study the retrieval task that ranks a set of objects for a given query in the pairwise preference learning framework. Recently researchers found out that raw features (e.g. word...
AAAI
2008
13 years 10 months ago
2008
We introduce the problem of zero-data learning, where a model must generalize to classes or tasks for which no training data are available and only a description of the classes or...
KDD
2012
ACM
11 years 10 months ago
2012
ACM
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...