120
Voted
ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
A number of supervised learning methods have been introduced in the last decade. Unfortunately, the last comprehensive empirical evaluation of supervised learning was the Statlog ...
83
Voted
ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
99
Voted
ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
In a principal-agent problem, a principal seeks to motivate an agent to take a certain action beneficial to the principal, while spending as little as possible on the reward. This...
68
Voted
ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
61
Voted
ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
103
Voted
ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
In many applications, unlabelled examples are inexpensive and easy to obtain. Semisupervised approaches try to utilise such examples to reduce the predictive error. In this paper,...
90
Voted
ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
127
Voted
ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
We consider the problem of fitting a large-scale covariance matrix to multivariate Gaussian data in such a way that the inverse is sparse, thus providing model selection. Beginnin...
118
Voted
ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
We show that several important Bayesian bounds studied in machine learning, both in the batch as well as the online setting, arise by an application of a simple compression lemma....
112
Voted
ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
We consider the problem of clustering in its most basic form where only a local metric on the data space is given. No parametric statistical model is assumed, and the number of cl...