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» Abstracting Reusable Cases from Reinforcement Learning
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ALT
2007
Springer
15 years 6 months ago
Learning Rational Stochastic Tree Languages
Abstract. We consider the problem of learning stochastic tree languages, i.e. probability distributions over a set of trees T(F), from a sample of trees independently drawn accordi...
François Denis, Amaury Habrard
SDM
2012
SIAM
297views Data Mining» more  SDM 2012»
12 years 12 months ago
A Flexible Open-Source Toolbox for Scalable Complex Graph Analysis
The Knowledge Discovery Toolbox (KDT) enables domain experts to perform complex analyses of huge datasets on supercomputers using a high-level language without grappling with the ...
Adam Lugowski, David M. Alber, Aydin Buluç,...
EGICE
2006
15 years 1 months ago
Bio-inspiration: Learning Creative Design Principia
Reusing or modifying known design concepts cannot meet new challenges for engineering systems. However, engineers can find inspiration outside their traditional domains in order to...
Tomasz Arciszewski, Joanna Cornell
KES
2006
Springer
14 years 9 months ago
The Repository Method for Chance Discovery in Financial Forecasting
Abstract. The aim of this work is to forecast future events in financial data sets, in particular, we focus our attention on situations where positive instances are rare, which fal...
Alma Lilia Garcia-Almanza, Edward P. K. Tsang
ECAI
2010
Springer
14 years 9 months ago
Learning to Author Text with textual CBR
Abstract. Textual reuse is an integral part of textual case-based reasoning (TCBR) which deals with solving new problems by reusing previous similar problem-solving experiences doc...
Ibrahim Adeyanju, Nirmalie Wiratunga, Juan A. Reci...