ECML
2007
Springer
13 years 10 months ago
2007
Springer
The problem of learning metrics between structured data (strings, trees or graphs) has been the subject of various recent papers. With regard to the specific case of trees, some a...
ECML
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. This paper introduces the use of multi-objective evolutionary algorithms in multiple instance learning. In order to achieve this purpose, a multi-objective grammar-guided...
ECML
2007
Springer
13 years 10 months ago
2007
Springer
We present a new regression algorithm called Additive Groves and show empirically that it is superior in performance to a number of other established regression methods. A single G...
ECML
2007
Springer
13 years 10 months ago
2007
Springer
In this paper we address a method of source separation in the case where sources have certain temporal structures. The key contribution in this paper is to incorporate Gaussian pro...
ECML
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. Clustering has recently enjoyed progress via spectral methods which group data using only pairwise affinities and avoid parametric assumptions. While spectral clustering ...
ECML
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. Consider the online regression problem where the dependence of the outcome yt on the signal xt changes with time. Standard regression techniques, like Ridge Regression, d...
ECML
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. We introduce a nonparametric model for sensitivity estimation which relies on generating points similar to the prediction point using its k nearest neighbors. Unlike most...
ECML
2007
Springer
13 years 10 months ago
2007
Springer
ECML
2007
Springer
13 years 10 months ago
2007
Springer
Many applications in information retrieval, natural language processing, data mining, and related fields require a ranking of instances with respect to a specified criteria as op...
ECML
2007
Springer
13 years 10 months ago
2007
Springer
Choosing a suitable feature representation for structured data is a non-trivial task due to the vast number of potential candidates. Ideally, one would like to pick a small, but in...