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» Optimal dyadic decision trees
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KDD
2009
ACM
173views Data Mining» more  KDD 2009»
16 years 4 months ago
The offset tree for learning with partial labels
We present an algorithm, called the offset tree, for learning in situations where a loss associated with different decisions is not known, but was randomly probed. The algorithm i...
Alina Beygelzimer, John Langford
PODS
2010
ACM
170views Database» more  PODS 2010»
15 years 9 months ago
Simplifying XML schema: single-type approximations of regular tree languages
XML Schema Definitions (XSDs) can be adequately abstracted by the single-type regular tree languages. It is wellknown, that these form a strict subclass of the robust class of re...
Wouter Gelade, Tomasz Idziaszek, Wim Martens, Fran...
AAAI
2006
15 years 5 months ago
Estimating Search Tree Size
We propose two new online methods for estimating the size of a backtracking search tree. The first method is based on a weighted sample of the branches visited by chronological ba...
Philip Kilby, John K. Slaney, Sylvie Thiéba...
AIPS
2011
14 years 7 months ago
Sample-Based Planning for Continuous Action Markov Decision Processes
In this paper, we present a new algorithm that integrates recent advances in solving continuous bandit problems with sample-based rollout methods for planning in Markov Decision P...
Christopher R. Mansley, Ari Weinstein, Michael L. ...
ICANN
2011
Springer
14 years 7 months ago
Temperature Prediction in Electric Arc Furnace with Neural Network Tree
Abstract. This paper presents a neural network tree regression system with dynamic optimization of input variable transformations and post-training optimization. The decision tree ...
Miroslaw Kordos, Marcin Blachnik, Tadeusz Wieczore...