ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
This paper aims to conduct a study on the listwise approach to learning to rank. The listwise approach learns a ranking function by taking individual lists as instances and minimi...
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
A new algorithm for training Restricted Boltzmann Machines is introduced. The algorithm, named Persistent Contrastive Divergence, is different from the standard Contrastive Diverg...
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
We present an active learning scheme that exploits cluster structure in data.
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
We discuss how the runtime of SVM optimization should decrease as the size of the training data increases. We present theoretical and empirical results demonstrating how a simple ...
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
In one-class classification we seek a rule to find a coherent subset of instances similar to a few positive examples in a large pool of instances. The problem can be formulated an...
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
For two-class classification, it is common to classify by setting a threshold on class probability estimates, where the threshold is determined by ROC curve analysis. An analog fo...
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
The problem of obtaining the maximum a posteriori (map) estimate of a discrete random field is of fundamental importance in many areas of Computer Science. In this work, we build ...
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
Tsochantaridis et al. (2005) proposed two formulations for maximum margin training of structured spaces: margin scaling and slack scaling. While margin scaling has been extensivel...
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
Previous work has shown that the difficulties in learning deep generative or discriminative models can be overcome by an initial unsupervised learning step that maps inputs to use...