1419 search results - page 88 / 284 » Approximation Methods for Supervised Learning |
111
Voted
ML
2006
ACM
15 years 13 days ago
2006
ACM
Abstract This paper proposes a new tree-based ensemble method for supervised classification and regression problems. It essentially consists of randomizing strongly both attribute ...
98
Voted
IWANN
1999
Springer
15 years 4 months ago
1999
Springer
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
119
click to vote
FORTE
2004
15 years 1 months ago
2004
Abstract. Monitoring large distributed concurrent systems is a challenging task. In this paper we formulate (model-based) diagnosis by means of hidden state history reconstruction,...
SAC
2009
ACM
15 years 7 months ago
2009
ACM
In the past years, the theory and practice of machine learning and data mining have been focused on static and finite data sets from where learning algorithms generate a static m...
116
Voted
ECCV
2010
Springer
15 years 2 months ago
2010
Springer
We propose a novel system for associating multi-target tracks across multiple non-overlapping cameras by an on-line learned discriminative appearance affinity model. Collecting rel...