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ICASSP
2010
IEEE
15 years 7 months ago
Hierarchical dictionary learning for invariant classification
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...
Leah Bar, Guillermo Sapiro
AMAI
2008
Springer
15 years 7 months ago
Bayesian learning of Bayesian networks with informative priors
This paper presents and evaluates an approach to Bayesian model averaging where the models are Bayesian nets (BNs). Prior distributions are defined using stochastic logic programs...
Nicos Angelopoulos, James Cussens
EOR
2006
91views more  EOR 2006»
15 years 7 months ago
Solving Irregular Strip Packing problems by hybridising simulated annealing and linear programming
In this paper a hybrid algorithm to solve Irregular Strip Packing problems is presented. The metaheuristic simulated annealing is used to guide the search over the solution space ...
A. Miguel Gomes, José F. Oliveira
EOR
2007
111views more  EOR 2007»
15 years 7 months ago
Linear programming based algorithms for preemptive and non-preemptive RCPSP
: In this paper, the RCPSP (Resource Constrained Project Scheduling Problem) is solved using a linear programming model. Each activity may or may not be preemptive. Each variable i...
Jean Damay, Alain Quilliot, Eric Sanlaville
196
Voted
PC
2008
158views Management» more  PC 2008»
15 years 7 months ago
Application of multistage stochastic programs solved in parallel in portfolio management
We present a multistage model for allocation of financial resources to bond indices in different currencies. The model was tested on historical data of interest and exchange rates...
Mária Lucká, Igor Melichercik, Ladis...