2009 |
22 | EE | María J. del Jesús,
José A. Gámez,
Jose Miguel Puerta:
Evolutionary and metaheuristics based data mining.
Soft Comput. 13(3): 209-212 (2009) |
2008 |
21 | EE | José A. Gámez,
Juan L. Mateo,
Jose Miguel Puerta:
Improved EDNA (estimation of dependency networks algorithm) using combining function with bivariate probability distributions.
GECCO 2008: 407-414 |
2007 |
20 | EE | José A. Gámez,
Juan L. Mateo,
Jose Miguel Puerta:
A Fast Hill-Climbing Algorithm for Bayesian Networks Structure Learning.
ECSQARU 2007: 585-597 |
19 | EE | José A. Gámez,
Juan L. Mateo,
Jose Miguel Puerta:
Learning Bayesian Classifiers from Dependency Network Classifiers.
ICANNGA (1) 2007: 806-813 |
18 | | Pablo Bermejo,
José A. Gámez,
Jose Miguel Puerta:
Attribute Construction for E-Mail Foldering by Using Wrappered Forward Greedy Search.
ICEIS (2) 2007: 247-252 |
17 | EE | José A. Gámez,
Juan L. Mateo,
Jose Miguel Puerta:
EDNA: Estimation of Dependency Networks Algorithm.
IWINAC (1) 2007: 427-436 |
16 | EE | José A. Gámez,
Juan L. Mateo,
Jose Miguel Puerta:
Improving Revisitation Browsers Capability by Using a Dynamic Bookmarks Personal Toolbar.
WISE 2007: 643-652 |
15 | EE | Luis de la Ossa,
M. Julia Flores,
José A. Gámez,
Juan L. Mateo,
Jose Miguel Puerta:
Initial breeding value prediction on Manchego sheep by using rule-based systems.
Expert Syst. Appl. 33(1): 96-109 (2007) |
2006 |
14 | EE | Luis de la Ossa,
José A. Gámez,
Jose Miguel Puerta:
Improvement in the Performance of Island Based Genetic Algorithms Through Path Relinking.
Hybrid Metaheuristics 2006: 42-56 |
13 | EE | José A. Gámez,
Juan L. Mateo,
Jose Miguel Puerta:
Dependency networks based classifiers: learning models by using independence.
Probabilistic Graphical Models 2006: 115-122 |
12 | EE | Luis de la Ossa,
José A. Gámez,
Jose Miguel Puerta:
Initial approaches to the application of islands-based parallel EDAs in continuous domains.
J. Parallel Distrib. Comput. 66(8): 991-1001 (2006) |
2005 |
11 | EE | Luis de la Ossa,
José A. Gámez,
Jose Miguel Puerta:
Improving model combination through local search in parallel univariate EDAs.
Congress on Evolutionary Computation 2005: 1426-1433 |
10 | EE | José A. Gámez,
Jose Miguel Puerta:
Constrained Score+(Local)Search Methods for Learning Bayesian Networks.
ECSQARU 2005: 161-173 |
9 | EE | Luis de la Ossa,
José A. Gámez,
Jose Miguel Puerta:
Initial Approaches to the Application of Islands-Based Parallel EDAs in Continuous Domains.
ICPP Workshops 2005: 580-587 |
2004 |
8 | EE | Luis de la Ossa,
José A. Gámez,
Jose Miguel Puerta:
Migration of Probability Models Instead of Individuals: An Alternative When Applying the Island Model to EDAs.
PPSN 2004: 242-252 |
2003 |
7 | EE | Luis de la Ossa,
José A. Gámez,
Jose Miguel Puerta:
Heuristic Based Sampling in Estimation of Distribution Algorithms: An Initial Approach.
CAEPIA 2003: 384-393 |
6 | EE | Luis M. de Campos,
Juan M. Fernández-Luna,
Jose Miguel Puerta:
An iterated local search algorithm for learning Bayesian networks with restarts based on conditional independence tests.
Int. J. Intell. Syst. 18(2): 221-235 (2003) |
2002 |
5 | EE | Luis M. de Campos,
Juan M. Fernández-Luna,
Jose Miguel Puerta:
Local Search Methods for Learning Bayesian Networks Using a Modified Neighborhood in the Space of DAGs.
IBERAMIA 2002: 182-192 |
4 | EE | Luis M. de Campos,
José A. Gámez,
Jose Miguel Puerta:
Graphical Models to Causal Discovery from Data.
Probabilistic Graphical Models 2002 |
3 | EE | Luis M. de Campos,
Juan M. Fernández-Luna,
José A. Gámez,
Jose Miguel Puerta:
Ant colony optimization for learning Bayesian networks.
Int. J. Approx. Reasoning 31(3): 291-311 (2002) |
2 | EE | José A. Gámez,
Jose Miguel Puerta:
Searching for the best elimination sequence in Bayesian networks by using ant colony optimization.
Pattern Recognition Letters 23(1-3): 261-277 (2002) |
2001 |
1 | EE | Luis M. de Campos,
Jose Miguel Puerta:
Stochastic Local Algorithms for Learning Belief Networks: Searching in the Space of the Orderings.
ECSQARU 2001: 228-239 |