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GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
13 years 6 months ago
Genetic programming for quantitative stock selection
We provide an overview of using genetic programming (GP) to model stock returns. Our models employ GP terminals (model decision variables) that are financial factors identified by...
Ying L. Becker, Una-May O'Reilly
CVPR
2005
IEEE
14 years 10 months ago
A Bayesian Approach to Unsupervised Feature Selection and Density Estimation Using Expectation Propagation
We propose an approximate Bayesian approach for unsupervised feature selection and density estimation, where the importance of the features for clustering is used as the measure f...
Shaorong Chang, Nilanjan Dasgupta, Lawrence Carin
NLE
2008
140views more  NLE 2008»
13 years 8 months ago
Active learning and logarithmic opinion pools for HPSG parse selection
For complex tasks such as parse selection, the creation of labelled training sets can be extremely costly. Resource-efficient schemes for creating informative labelled material mu...
Jason Baldridge, Miles Osborne
SIAMSC
2008
142views more  SIAMSC 2008»
13 years 7 months ago
Algebraic Multigrid Solvers for Complex-Valued Matrices
In the mathematical modeling of real-life applications, systems of equations with complex coefficients often arise. While many techniques of numerical linear algebra, e.g., Krylovs...
Scott MacLachlan, Cornelis W. Oosterlee
MFDBS
1991
125views Database» more  MFDBS 1991»
14 years 9 days ago
A Relational Algebra for Complex Objects Based on Partial Information
We study an approach to relational databases which treats relations not as subsets of a Cartesian product but as subsets of some domain { a partially ordered space of descriptions...
Leonid Libkin