225 search results - page 9 / 45 » On Learning Decision Trees with Large Output Domains |
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
We propose a simple, novel and yet effective method for building and testing decision trees that minimizes the sum of the misclassification and test costs. More specifically, we f...
OSDI
2008
ACM
14 years 8 months ago
2008
ACM
The console logs generated by an application contain messages that the application developers believed would be useful in debugging or monitoring the application. Despite the ubiq...
AAAI
1998
13 years 9 months ago
1998
Reinforcement learning is an effective technique for learning action policies in discrete stochastic environments, but its efficiency can decay exponentially with the size of the ...
EWCBR
2000
Springer
13 years 11 months ago
2000
Springer
This paper proposes a methodology of maintaining Case Based Reasoning (CBR) systems by using fuzzy decision tree induction - a machine learning technique. The methodology is mainly...
KDD
1998
ACM
13 years 12 months ago
1998
ACM
This paper explores unexpected results that lie at the intersection of two common themes in the KDD community: large datasets and the goal of building compact models. Experiments ...