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» Optimal dyadic decision trees
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KDD
2009
ACM
173views Data Mining» more  KDD 2009»
14 years 11 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»
14 years 3 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
13 years 11 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
13 years 2 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
13 years 1 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...