32 search results - page 3 / 7 » An Empirical Study on Learning to Rank of Tweets |
ML
2008
ACM
13 years 5 months ago
2008
ACM
Label ranking studies the problem of learning a mapping from instances to rankings over a predefined set of labels. Hitherto existing approaches to label ranking implicitly operat...
AAAI
2012
11 years 8 months ago
2012
Selecting the optimal kernel is an important and difficult challenge in applying kernel methods to pattern recognition. To address this challenge, multiple kernel learning (MKL) ...
ADMA
2005
Springer
13 years 11 months ago
2005
Springer
Accurate probability-based ranking of instances is crucial in many real-world data mining applications. KNN (k-nearest neighbor) [1] has been intensively studied as an effective c...
IR
2010
13 years 4 months ago
2010
In this article we present Supervised Semantic Indexing (SSI) which defines a class of nonlinear (quadratic) models that are discriminatively trained to directly map from the word...
ECML
2004
Springer
13 years 9 months ago
2004
Springer
It is well-known that naive Bayes performs surprisingly well in classification, but its probability estimation is poor. In many applications, however, a ranking based on class prob...