85
Voted
ECML
2007
Springer
14 years 11 months ago
2007
Springer
103
Voted
ECML
2007
Springer
14 years 11 months ago
2007
Springer
Many problems in areas such as Natural Language Processing, Information Retrieval, or Bioinformatic involve the generic task of sequence labeling. In many cases, the aim is to assi...
88
Voted
ECML
2007
Springer
14 years 11 months ago
2007
Springer
84
Voted
ECML
2007
Springer
15 years 1 months ago
2007
Springer
We consider the problem of ordinal classification, in which a value set of the decision attribute (output, dependent variable) is finite and ordered. This problem shares some chara...
85
Voted
ECML
2007
Springer
15 years 1 months ago
2007
Springer
Research on automatic identification of musical instrument sounds has already been performed through last years, but mainly for monophonic singular sounds. In this paper we work on...
93
Voted
ECML
2007
Springer
15 years 1 months ago
2007
Springer
Mining frequent patterns is a major topic in data mining research, resulting in many seminal papers and algorithms on item set and episode discovery. The combination of these, call...
ECML
2007
Springer
15 years 1 months ago
2007
Springer
Abstract. Ensemble methods are able to improve the predictive performance of many base classifiers. Up till now, they have been applied to classifiers that predict a single target ...
90
Voted
ECML
2007
Springer
15 years 1 months ago
2007
Springer
Abstract. In order to organize huge document collections, labeled hierarchical structures are used frequently. Users are most efficient in navigating such hierarchies, if they refl...
105
Voted
ECML
2007
Springer
15 years 1 months ago
2007
Springer
Abstract. We present a new reinforcement learning approach for deterministic continuous control problems in environments with unknown, arbitrary reward functions. The difficulty of...
82
Voted
ECML
2007
Springer
15 years 1 months ago
2007
Springer
Abstract. Ensemble methods are popular learning methods that usually increase the predictive accuracy of a classifier though at the cost of interpretability and insight in the deci...