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IPMU
2010
Springer
13 years 6 months ago
Attribute Value Selection Considering the Minimum Description Length Approach and Feature Granularity
Abstract. In this paper we introduce a new approach to automatic attribute and granularity selection for building optimum regression trees. The method is based on the minimum descr...
Kemal Ince, Frank Klawonn
CORR
2004
Springer
100views Education» more  CORR 2004»
13 years 7 months ago
On the Theory of Structural Subtyping
We show that the first-order theory of structural subtyping of non-recursive types is decidable. Let be a language consisting of function symbols (representing type constructors)...
Viktor Kuncak, Martin C. Rinard
ISLPED
1999
ACM
91views Hardware» more  ISLPED 1999»
13 years 11 months ago
Stochastic modeling of a power-managed system: construction and optimization
-- The goal of a dynamic power management policy is to reduce the power consumption of an electronic system by putting system components into different states, each representing ce...
Qinru Qiu, Qing Wu, Massoud Pedram
HEURISTICS
2010
13 years 4 months ago
A shift sequence based approach for nurse scheduling and a new benchmark dataset
This paper investigates an adaptive constructive method for solving nurse rostering problems. The constraints considered in the problems are categorised into three classes: those t...
Peter Brucker, Edmund K. Burke, Timothy Curtois, R...
ILP
2004
Springer
14 years 26 days ago
First Order Random Forests with Complex Aggregates
Random forest induction is a bagging method that randomly samples the feature set at each node in a decision tree. In propositional learning, the method has been shown to work well...
Celine Vens, Anneleen Van Assche, Hendrik Blockeel...