1339 search results - page 55 / 268 » Learning Functions from Imperfect Positive Data |
WSDM
2010
ACM
14 years 7 months ago
2010
ACM
In information retrieval, relevance of documents with respect to queries is usually judged by humans, and used in evaluation and/or learning of ranking functions. Previous work ha...
ICDE
2008
IEEE
14 years 4 months ago
2008
IEEE
— Learning to rank has become a popular method for web search ranking. Traditionally, expert-judged examples are the major training resource for machine learned web ranking, whic...
COLT
2006
Springer
14 years 1 months ago
2006
Springer
Abstract. The present paper introduces a new model for teaching randomized learners. Our new model, though based on the classical teaching dimension model, allows to study the infl...
ICPR
2006
IEEE
14 years 11 months ago
2006
IEEE
Distance functions are an important component in many learning applications. However, the correct function is context dependent, therefore it is advantageous to learn a distance f...
AUSAI
2008
Springer
13 years 12 months ago
2008
Springer
Classifiers are traditionally learned using sets of positive and negative training examples. However, often a classifier is required, but for training only an incomplete set of pos...