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PPSN
2004
Springer
14 years 2 months ago
The Application of Bayesian Optimization and Classifier Systems in Nurse Scheduling
Two ideas taken from Bayesian optimization and classifier systems are presented for personnel scheduling based on choosing a suitable scheduling rule from a set for each person’s...
Jingpeng Li, Uwe Aickelin
PDIS
1996
IEEE
14 years 29 days ago
The Strobe Algorithms for Multi-Source Warehouse Consistency
A warehouse is a data repository containing integrated information for e cient querying and analysis. Maintaining the consistency of warehouse data is challenging, especially if t...
Yue Zhuge, Hector Garcia-Molina, Janet L. Wiener
ICML
2009
IEEE
14 years 9 months ago
Matrix updates for perceptron training of continuous density hidden Markov models
In this paper, we investigate a simple, mistakedriven learning algorithm for discriminative training of continuous density hidden Markov models (CD-HMMs). Most CD-HMMs for automat...
Chih-Chieh Cheng, Fei Sha, Lawrence K. Saul
ICML
2007
IEEE
14 years 9 months ago
Exponentiated gradient algorithms for log-linear structured prediction
Conditional log-linear models are a commonly used method for structured prediction. Efficient learning of parameters in these models is therefore an important problem. This paper ...
Amir Globerson, Terry Koo, Xavier Carreras, Michae...
PPAM
2007
Springer
14 years 2 months ago
Parallel Simulated Annealing Algorithm for Graph Coloring Problem
Abstract. The paper describes an application of Parallel Simulated Annealing (PSA) for solving one of the most studied NP-hard optimization problems: Graph Coloring Problem (GCP). ...
Szymon Lukasik, Zbigniew Kokosinski, Grzegorz Swie...