372 search results - page 8 / 75 » Learning to Rank Using an Ensemble of Lambda-Gradient Models |
CISSE
2008
Springer
13 years 9 months ago
2008
Springer
We live in the information age, where the amount of data readily available already overwhelms our capacity to analyze and absorb it without help from our machines. In particular, ...
NAACL
2007
13 years 9 months ago
2007
We address the problem of analyzing multiple related opinions in a text. For instance, in a restaurant review such opinions may include food, ambience and service. We formulate th...
SIGIR
2012
ACM
11 years 10 months ago
2012
ACM
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
EUROGP
2010
Springer
14 years 25 days ago
2010
Springer
We describe a data mining framework that derives panelist information from sparse flavour survey data. One component of the framework executes genetic programming ensemble based s...
CIDM
2009
IEEE
14 years 2 months ago
2009
IEEE
— Many real-world applications have problems when learning from imbalanced data sets, such as medical diagnosis, fraud detection, and text classification. Very few minority clas...