13 search results - page 2 / 3 » Learning to Probabilistically Identify Authoritative Documen... |
ECML
2007
Springer
13 years 11 months ago
2007
Springer
Many real-world classification applications fall into the class of positive and unlabeled (PU) learning problems. In many such applications, not only could the negative training ex...
NIPS
2008
13 years 6 months ago
2008
Probabilistic topic models have become popular as methods for dimensionality reduction in collections of text documents or images. These models are usually treated as generative m...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
Publication repositories contain an abundance of information about the evolution of scientific research areas. We address the problem of creating a visualization of a research are...
CIKM
2010
Springer
13 years 3 months ago
2010
Springer
The probability that a term appears in relevant documents ( ) is a fundamental quantity in several probabilistic retrieval models, however it is difficult to estimate without rele...
ECIR
2009
Springer
14 years 2 months ago
2009
Springer
Ranking for multilingual information retrieval (MLIR) is a task to rank documents of different languages solely based on their relevancy to the query regardless of query’s langu...