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» Learning DNF by Decision Trees
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IEAAIE
1995
Springer
15 years 1 months ago
Polygonal Inductive Generalisation System
Classification learning has been dominated by the induction of axisorthogonal decision surfaces. While induction of alternate forms of decision surface has received some attentio...
Douglas A. Newlands, Geoffrey I. Webb
ICML
2005
IEEE
15 years 10 months ago
Bayesian sparse sampling for on-line reward optimization
We present an efficient "sparse sampling" technique for approximating Bayes optimal decision making in reinforcement learning, addressing the well known exploration vers...
Tao Wang, Daniel J. Lizotte, Michael H. Bowling, D...
IDA
2005
Springer
15 years 3 months ago
Learning from Ambiguously Labeled Examples
Inducing a classification function from a set of examples in the form of labeled instances is a standard problem in supervised machine learning. In this paper, we are concerned w...
Eyke Hüllermeier, Jürgen Beringer
RA
2003
135views Robotics» more  RA 2003»
14 years 11 months ago
Behavioural Cloning and Robot Control
Behavioural cloning is a method by which a machine learns control skills through observing what a human controller would do in a certain set of circumstances. More specifically, t...
Claire D'Este, Mark O'Sullivan, Nicholas Hannah
ICML
2004
IEEE
15 years 10 months ago
Sequential skewing: an improved skewing algorithm
This paper extends previous work on the Skewing algorithm, a promising approach that allows greedy decision tree induction algorithms to handle problematic functions such as parit...
Soumya Ray, David Page