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JCP
2006
74views more  JCP 2006»
14 years 9 months ago
Local Boosting of Decision Stumps for Regression and Classification Problems
Numerous data mining problems involve an investigation of associations between features in heterogeneous datasets, where different prediction models can be more suitable for differ...
Sotiris B. Kotsiantis, Dimitris Kanellopoulos, Pan...
CORR
2011
Springer
136views Education» more  CORR 2011»
14 years 1 months ago
Eliciting Forecasts from Self-interested Experts: Scoring Rules for Decision Makers
Scoring rules for eliciting expert predictions of random variables are usually developed assuming that experts derive utility only from the quality of their predictions (e.g., sco...
Craig Boutilier
63
Voted
CEC
2005
IEEE
15 years 3 months ago
Evolving binary decision diagrams using implicit neutrality
Abstract- A new algorithm is presented for evolving Binary Decision Diagrams (BDD) that employs the neutrality implicit in the BDD representation. It is shown that an effortless ne...
Richard M. Downing
DATE
1999
IEEE
111views Hardware» more  DATE 1999»
15 years 2 months ago
Sequential Circuit Test Generation Using Decision Diagram Models
A novel approach to testing sequential circuits that uses multi-level decision diagram representations is introduced. The proposed algorithm consists of a combination of scanning ...
Jaan Raik, Raimund Ubar
TSMC
1998
132views more  TSMC 1998»
14 years 9 months ago
Decision support for vehicle dispatching using genetic programming
—Vehicle dispatching consists of allocating real-time service requests to a fleet of moving vehicles. In this paper, each vehicle is associated with a vector of attribute values...
Ilham Benyahia, Jean-Yves Potvin