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» On Learning Decision Trees with Large Output Domains
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KDD
2003
ACM
243views Data Mining» more  KDD 2003»
16 years 6 months ago
Accurate decision trees for mining high-speed data streams
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...
João Gama, Pedro Medas, Ricardo Rocha
CONCUR
2006
Springer
15 years 8 months ago
Inference of Event-Recording Automata Using Timed Decision Trees
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...
Olga Grinchtein, Bengt Jonsson, Paul Pettersson
INTERSPEECH
2010
15 years 23 days ago
Modeling liaison in French by using decision trees
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...
Josafá de Jesus Aguiar Pontes, Sadaoki Furu...
IJCAI
1997
15 years 7 months ago
Noise-Tolerant Windowing
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...
Johannes Fürnkranz
ICRA
2010
IEEE
133views Robotics» more  ICRA 2010»
15 years 4 months ago
Generalized model learning for Reinforcement Learning on a humanoid robot
— 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...
Todd Hester, Michael Quinlan, Peter Stone