225 search results - page 10 / 45 » On Learning Decision Trees with Large Output Domains |
KDD
2003
ACM
14 years 8 months ago
2003
ACM
In this paper we study the problem of constructing accurate decision tree models from data streams. Data streams are incremental tasks that require incremental, online, and any-ti...
CONCUR
2006
Springer
13 years 9 months ago
2006
Springer
In regular inference, the problem is to infer a regular language, typically represented by a deterministic finite automaton (DFA) from answers to a finite set of membership querie...
INTERSPEECH
2010
13 years 2 months ago
2010
French is known to be a language with major pronunciation irregularities at word endings with consonants. Particularly, the well-known phonetic phenomenon called Liaison is one of...
IJCAI
1997
13 years 9 months ago
1997
Windowing has been proposed as a procedure for efficient memory use in the ID3 decision tree learning algorithm. However, it was shown that it may often lead to a decrease in perf...
ICRA
2010
IEEE
13 years 6 months ago
2010
IEEE
— Reinforcement learning (RL) algorithms have long been promising methods for enabling an autonomous robot to improve its behavior on sequential decision-making tasks. The obviou...