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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
ACL
2011
14 years 9 months ago
Temporal Restricted Boltzmann Machines for Dependency Parsing
We propose a generative model based on Temporal Restricted Boltzmann Machines for transition based dependency parsing. The parse tree is built incrementally using a shiftreduce pa...
Nikhil Garg, James Henderson
ECML
2003
Springer
15 years 11 months ago
Logistic Model Trees
Abstract. Tree induction methods and linear models are popular techniques for supervised learning tasks, both for the prediction of nominal classes and continuous numeric values. F...
Niels Landwehr, Mark Hall, Eibe Frank
CIMCA
2008
IEEE
16 years 12 days ago
Tree Exploration for Bayesian RL Exploration
Research in reinforcement learning has produced algorithms for optimal decision making under uncertainty that fall within two main types. The first employs a Bayesian framework, ...
Christos Dimitrakakis
HASE
2007
IEEE
16 years 7 days ago
Integrating Product-Line Fault Tree Analysis into AADL Models
Fault Tree Analysis (FTA) is a safety-analysis technique that has been recently extended to accommodate product-line engineering for critical domains. This paper describes a tool-...
Hongyu Sun, Miriam Hauptman, Robyn R. Lutz