-
1
-
-
0002589531
-
An empirical study of bit vector function optimization
-
Ackley, D. H. (1987). An empirical study of bit vector function optimization. Genetic Algorithms and Simulated Annealing, pp. 170-204.
-
(1987)
Genetic Algorithms and Simulated Annealing
, pp. 170-204
-
-
Ackley, D.H.1
-
2
-
-
0002983554
-
The k-partitioning problem
-
Babel, L., Kellerer, H., and Kotov, V. (1998). The k-partitioning problem. Mathematical Methods of Operations Research, 47(1):59-82.
-
(1998)
Mathematical Methods of Operations Research
, vol.47
, Issue.1
, pp. 59-82
-
-
Babel, L.1
Kellerer, H.2
Kotov, V.3
-
3
-
-
26944443478
-
Survey propagation: An algorithm for satisfiability
-
Braunstein, A., Ḿezard, M., and Zecchina, R. (2005). Survey propagation: An algorithm for satisfiability. Random Structures and Algorithms, 27(2):201-226.
-
(2005)
Random Structures and Algorithms
, vol.27
, Issue.2
, pp. 201-226
-
-
Braunstein, A.1
Ḿezard, M.2
Zecchina, R.3
-
4
-
-
84976668743
-
Algorithm 457-Finding all cliques of an undirected graph
-
Bron, C., and Kerbosch, J. (1973). Algorithm 457-Finding all cliques of an undirected graph. Communications of the ACM, 16(6):575-577.
-
(1973)
Communications of the ACM
, vol.16
, Issue.6
, pp. 575-577
-
-
Bron, C.1
Kerbosch, J.2
-
5
-
-
0031721615
-
On the complexity of protein folding
-
Crescenzi, P., Goldman, D., Papadimitriou, C. H., Piccolboni, A., and Yannakakis, M. (1998). On the complexity of protein folding. Journal of Computational Biology, 5(3):423-466.
-
(1998)
Journal of Computational Biology
, vol.5
, Issue.3
, pp. 423-466
-
-
Crescenzi, P.1
Goldman, D.2
Papadimitriou, C.H.3
Piccolboni, A.4
Yannakakis, M.5
-
6
-
-
33947230224
-
An immune algorithm for protein structure prediction on lattice models
-
Cutello, V., Nicosia, G., Pavone, M., and Timmis, J. (2007).An immune algorithm for protein structure prediction on lattice models. IEEE Transactions on Evolutionary Computation, 11(1):101-117.
-
(2007)
IEEE Transactions On Evolutionary Computation
, vol.11
, Issue.1
, pp. 101-117
-
-
Cutello, V.1
Nicosia, G.2
Pavone, M.3
Timmis, J.4
-
7
-
-
78649764399
-
X-ary extended compact genetic algorithm in C++
-
IlliGAL Report 2006013, University of Illinois at Urbana-Champaign, Illinois Genetic Algorithms Laboratory, Urbana, IL
-
de la Ossa, L., Sastry, K., and Lobo, F. G. (2006). X-ary extended compact genetic algorithm in C++. IlliGAL Report 2006013, University of Illinois at Urbana-Champaign, Illinois Genetic Algorithms Laboratory, Urbana, IL.
-
(2006)
-
-
de la, O.L.1
Sastry, K.2
Lobo, F.G.3
-
8
-
-
0041822908
-
Analyzing deception in trap functions
-
IlliGAL Report 91009, University of Illinois at Urbana-Champaign, Illinois GeneticAlgorithms Laboratory, Urbana, IL
-
Deb, K., and Goldberg, D. E. (1991). Analyzing deception in trap functions. IlliGAL Report 91009, University of Illinois at Urbana-Champaign, Illinois GeneticAlgorithms Laboratory, Urbana, IL.
-
(1991)
-
-
Deb, K.1
Goldberg, D.E.2
-
9
-
-
0000695960
-
On a least squares adjustment of a sampled frequency table when the expected marginal totals are known
-
Deming, W. E., and Stephan, F. F. (1940). On a least squares adjustment of a sampled frequency table when the expected marginal totals are known. Annals of Mathematical Statistics, 11(4):427-444.
-
(1940)
Annals of Mathematical Statistics
, vol.11
, Issue.4
, pp. 427-444
-
-
Deming, W.E.1
Stephan, F.F.2
-
10
-
-
0022423920
-
Theory for the folding and stability of globular proteins
-
Dill, K. A. (1985). Theory for the folding and stability of globular proteins. Biochemistry, 24(6):1501-1509.
-
(1985)
Biochemistry
, vol.24
, Issue.6
, pp. 1501-1509
-
-
Dill, K.A.1
-
11
-
-
56449084970
-
Enhancing the efficiency of the ECGA
-
Rudolph, G., Jansen, T., Lucas, S., Poloni, C., and Beume, N., editors, Berlin: Springer
-
Duque, T. S. P. C., Goldberg, D. E., and Sastry, K. (2008). Enhancing the efficiency of the ECGA. In Rudolph, G., Jansen, T., Lucas, S., Poloni, C., and Beume, N., editors, Parallel Problem Solving from Nature, PPSN X, Vol. 5199 of Lecture Notes in Computer Science, pp. 165-174. Berlin: Springer.
-
(2008)
Parallel Problem Solving From Nature, PPSN X, Vol. 5199 of Lecture Notes In Computer Science
, pp. 165-174
-
-
Duque, T.S.P.C.1
Goldberg, D.E.2
Sastry, K.3
-
12
-
-
51849108416
-
Exact Bayesian network learning in estimation of distribution algorithms
-
Echegoyen, C., Lozano, J. A., Santana, R., and Larra ̃naga, P. (2007). Exact Bayesian network learning in estimation of distribution algorithms. In Proceedings of the 2007 Congress on Evolutionary Computation CEC-2007, pp. 1051-1058.
-
(2007)
Proceedings of the 2007 Congress On Evolutionary Computation CEC-2007
, pp. 1051-1058
-
-
Echegoyen, C.1
Lozano, J.A.2
Santana, R.3
-
13
-
-
0002307386
-
Global optimization using Bayesian networks
-
A. Ochoa, M. R. Soto, and R. Santana (Eds.)
-
Etxeberria, R., and Larrãnaga, P. (1999). Global optimization using Bayesian networks. In A. Ochoa, M. R. Soto, and R. Santana (Eds.), Proceedings of the Second Symposium on Artificial Intelligence (CIMAF-99), pp. 151-173.
-
(1999)
Proceedings of the Second Symposium On Artificial Intelligence (CIMAF-99)
, pp. 151-173
-
-
Etxeberria, R.1
Larrãnaga, P.2
-
15
-
-
33847172327
-
Clustering by passing messages between data points
-
Frey, B. J., and Dueck, D. (2007). Clustering by passing messages between data points. Science, 315:972-976.
-
(2007)
Science
, vol.315
, pp. 972-976
-
-
Frey, B.J.1
Dueck, D.2
-
16
-
-
38149102431
-
EDNA: Estimation of dependency networks algorithm
-
J. Mira and J. R. Á lvarez (Eds.), Berlin: Springer, IWINAC 2007, Vol. 4527 of Lecture Notes In Computer Science
-
Ǵamez, J. A., Mateo, J. L., and Puerta, J. M. (2007). EDNA: Estimation of dependency networks algorithm. In J. Mira and J. R. A ́ lvarez (Eds.), Bio-inspired Modeling of Cognitive Tasks, Second International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2007, Vol. 4527 of Lecture Notes in Computer Science (pp. 427-436). Berlin: Springer.
-
(2007)
Bio-inspired Modeling of Cognitive Tasks, Second International Work-Conference On the Interplay Between Natural and Artificial Computation
, pp. 427-436
-
-
Ǵamez, J.A.1
Mateo, J.L.2
Puerta, J.M.3
-
17
-
-
57349199340
-
Improved EDNA (estimation of dependency networks algorithm) using combining function with bivariate probability distributions
-
Ǵamez, J. A., Mateo, J. L., and Puerta, J. M. (2008). Improved EDNA (estimation of dependency networks algorithm) using combining function with bivariate probability distributions. In Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation GECCO-2008, pp. 407-414.
-
(2008)
Proceedings of the 10th Annual Conference On Genetic and Evolutionary Computation GECCO-2008
, pp. 407-414
-
-
Ǵamez, J.A.1
Mateo, J.L.2
Puerta, J.M.3
-
18
-
-
17144425763
-
Practical lessons from protein structure prediction
-
Ginalski, K., Grishin, N. V., Godzik, A., and Rychlewski, L. (2005). Practical lessons from protein structure prediction. Nucleid Acids Research, 33(6):1874-1891.
-
(2005)
Nucleid Acids Research
, vol.33
, Issue.6
, pp. 1874-1891
-
-
Ginalski, K.1
Grishin, N.V.2
Godzik, A.3
Rychlewski, L.4
-
19
-
-
0002076808
-
Simple genetic algorithms and the minimal, deceptive problem
-
L. Davis (Ed.), London: Pitman Publishing
-
Goldberg, D. E. (1987). Simple genetic algorithms and the minimal, deceptive problem. In L. Davis (Ed.), Genetic Algorithms and Simulated Annealing (pp. 74-88). London: Pitman Publishing.
-
(1987)
Genetic Algorithms and Simulated Annealing
, pp. 74-88
-
-
Goldberg, D.E.1
-
21
-
-
35048833685
-
On the evolutionary search for solutions to the protein folding problem
-
G. B. Fogel and D. W. Corne (Eds.), San Mateo, CA: Morgan Kaufmann
-
Greenwood, G. W., and Shin, J.-M. (2002). On the evolutionary search for solutions to the protein folding problem. In G. B. Fogel and D. W. Corne (Eds.), Evolutionary computation in bioinformatics (pp. 115-136). San Mateo, CA: Morgan Kaufmann.
-
(2002)
Evolutionary Computation In Bioinformatics
, pp. 115-136
-
-
Greenwood, G.W.1
Shin, J.-M.2
-
22
-
-
0003738581
-
Linkage learning via probabilisticmodeling in the ECGA
-
IlliGAL Report 99010, University of Illinois at Urbana-Champaign, Illinois GeneticAlgorithms Laboratory, Urbana, IL
-
Harik, G. (1999). Linkage learning via probabilisticmodeling in the ECGA. IlliGAL Report 99010, University of Illinois at Urbana-Champaign, Illinois GeneticAlgorithms Laboratory, Urbana, IL.
-
(1999)
-
-
Harik, G.1
-
23
-
-
0003826269
-
Learning gene linkage to efficiently solve problems of bounded difficulty using genetic algorithms
-
University of Michigan, Ann Arbor. Also IlliGAL Report No
-
Harik, G. R. (1997). Learning gene linkage to efficiently solve problems of bounded difficulty using genetic algorithms. PhD thesis, University of Michigan, Ann Arbor. Also IlliGAL Report No. 97005.
-
(1997)
PhD thesis
, pp. 97005
-
-
Harik, G.R.1
-
24
-
-
51849133416
-
Linkage learning via probabilistic modeling in the ECGA
-
M. Pelikan, K. Sastry, and E. Cant ́ u-Paz (Eds.), Berlin: Springer
-
Harik, G. R., Lobo, F. G., and Sastry, K. (2006). Linkage learning via probabilistic modeling in the ECGA. In M. Pelikan, K. Sastry, and E. Cant ́ u-Paz (Eds.), Scalable optimization via probabilistic modeling: From algorithms to applications (pp. 39-62). Berlin: Springer.
-
(2006)
Scalable Optimization Via Probabilistic Modeling: From Algorithms to Applications
, pp. 39-62
-
-
Harik, G.R.1
Lobo, F.G.2
Sastry, K.3
-
25
-
-
0030015087
-
Fast protein folding in the hydrophobic-hydrophilic model within three-eights of optimal
-
Hart, W. E., and Istrail, S. C. (1996). Fast protein folding in the hydrophobic-hydrophilic model within three-eights of optimal. Journal of Computational Biology, 3(1):53-96.
-
(1996)
Journal of Computational Biology
, vol.3
, Issue.1
, pp. 53-96
-
-
Hart, W.E.1
Istrail, S.C.2
-
27
-
-
0002123103
-
Dependency networks for inference, collaborative filtering, and data visualization
-
Heckerman, D., Chickering, D. M., Meek, C., Rounthwaite, R., and Kadie, C. M. (2000). Dependency networks for inference, collaborative filtering, and data visualization. Journal of Machine Learning Research, 1:49-75.
-
(2000)
Journal of Machine Learning Research
, vol.1
, pp. 49-75
-
-
Heckerman, D.1
Chickering, D.M.2
Meek, C.3
Rounthwaite, R.4
Kadie, C.M.5
-
28
-
-
34249761849
-
Learning Bayesian networks: The combination of knowledge and statistical data
-
Heckerman, D., Geiger, D., and Chickering, D. M. (1995). Learning Bayesian networks: The combination of knowledge and statistical data. Machine Learning, 20:197-243.
-
(1995)
Machine Learning
, vol.20
, pp. 197-243
-
-
Heckerman, D.1
Geiger, D.2
Chickering, D.M.3
-
29
-
-
33750234445
-
Estimation of Distribution Algorithms and Minimum Relative Entropy
-
University of Bonn, Bonn, Germany
-
Ḧons, R. (2006). Estimation of distribution algorithms and minimum relative entropy. PhD thesis, University of Bonn, Bonn, Germany.
-
(2006)
PhD Thesis
-
-
Ḧons, R.1
-
30
-
-
34548069626
-
Optimization By Max-propagation Using Kikuchi Approximations
-
EHU-KZAA-IK-2/07, Department of Computer Science and Artificial Intelligence, University of the Basque Country
-
Ḧons, R., Santana, R., Larrǎ;naga, P., and Lozano, J. A. (2007). Optimization by max-propagation using Kikuchi approximations. Tech. Rep. EHU-KZAA-IK-2/07, Department of Computer Science and Artificial Intelligence, University of the Basque Country.
-
(2007)
Tech. Rep\
-
-
Ḧons, R.1
Santana, R.2
Larrǎnaga, P.3
Lozano, J.A.4
-
31
-
-
0037258333
-
Growth algorithms for lattice heteropolymers at low temperatures
-
Hsu, H.-P., Mehra, V., Nadler, W., and Grassberger, P. (2003). Growth algorithms for lattice heteropolymers at low temperatures. Journal of Chemical Physics, 118(1):444-451.
-
(2003)
Journal of Chemical Physics
, vol.118
, Issue.1
, pp. 444-451
-
-
Hsu, H.-P.1
Mehra, V.2
Nadler, W.3
Grassberger, P.4
-
32
-
-
0003969258
-
Protein structure prediction with evolutionary algorithms
-
W. Banzhaf, J. Daida, A. E. Eiben, M. H. Garzon, V. Honavar, M. Jakiela, and R. E. Smith (Eds.)
-
Krasnogor, N., Hart, W. E., Smith, J., and Pelta, D. A. (1999). Protein structure prediction with evolutionary algorithms. In W. Banzhaf, J. Daida, A. E. Eiben, M. H. Garzon, V. Honavar, M. Jakiela, and R. E. Smith (Eds.), Proceedings of the Genetic and Evolutionary Computation Conference, Vol. 2, pp. 1596-1601.
-
(1999)
Proceedings of the Genetic and Evolutionary Computation Conference
, vol.2
, pp. 1596-1601
-
-
Krasnogor, N.1
Hart, W.E.2
Smith, J.3
Pelta, D.A.4
-
34
-
-
35748982103
-
Clustering by soft-constraint affinity propagation: Applications to gene- xpression data
-
Leone, M., Sumedha, and Weigt, M. (2007). Clustering by soft-constraint affinity propagation: Applications to gene- xpression data. Bioinformatics, 23(20):2708-2715.
-
(2007)
Bioinformatics
, vol.23
, Issue.20
, pp. 2708-2715
-
-
Leone, M.1
Sumedha2
Weigt, M.3
-
35
-
-
51849155825
-
Introducing belief propagation in estimation of distribution algorithms: A parallel framework
-
Tech. Rep. EHU-KAT-IK-11/07, Department of Computer Science and Artificial Intelligence, University of the Basque Country
-
Mendiburu, A., Santana, R., and Lozano, J. A. (2007). Introducing belief propagation in estimation of distribution algorithms: A parallel framework. Tech. Rep. EHU-KAT-IK-11/07, Department of Computer Science and Artificial Intelligence, University of the Basque Country.
-
(2007)
-
-
Mendiburu, A.1
Santana, R.2
Lozano, J.A.3
-
36
-
-
33847138173
-
Where are the good exemplars?
-
Ḿezard, M. (2007). Where are the good exemplars? Science, 315:949-951.
-
(2007)
Science
, vol.315
, pp. 949-951
-
-
Ḿezard, M.1
-
37
-
-
0037008520
-
Analytic and algorithmic solution of random satisfiability problems
-
Ḿezard, M., Parisi, G., and Zechina, R. (2002). Analytic and algorithmic solution of random satisfiability problems. Science, 297:812.
-
(2002)
Science
, vol.297
, pp. 812
-
-
Ḿezard, M.1
Parisi, G.2
Zechina, R.3
-
38
-
-
34548057745
-
The factorized distributions and the minimum relative entropy principle
-
M. Pelikan, K. Sastry, and E. Cant ́ u-Paz (Eds.), Berlin: Springer
-
M̈uhlenbein, H., and Ḧons, R. (2006). The factorized distributions and the minimum relative entropy principle. In M. Pelikan, K. Sastry, and E. Cant ́ u-Paz (Eds.), Scalable optimization via probabilistic modeling: From algorithms to applications (pp. 11-38). Berlin: Springer.
-
(2006)
Scalable Optimization Via Probabilistic Modeling: From Algorithms to Application
, pp. 11-38
-
-
M̈uhlenbein, H.1
Ḧons, R.2
-
39
-
-
9444257742
-
Evolutionary synthesis of Bayesian networks for optimization
-
M. Patel, V. Honavar, and K. Balakrishnan (Eds.), Cambridge, MA: MIT Press
-
M̈uhlenbein, H., and Mahnig, T. (2001). Evolutionary synthesis of Bayesian networks for optimization. In M. Patel, V. Honavar, and K. Balakrishnan (Eds.), Advances in Evolutionary Synthesis of Intelligent Agents (pp. 429-455). Cambridge, MA: MIT Press.
-
(2001)
Advances In Evolutionary Synthesis of Intelligent Agents
, pp. 429-455
-
-
M̈uhlenbein, H.1
Mahnig, T.2
-
40
-
-
84958959530
-
From recombination of genes to the estimation of distributions. I. Binary parameters
-
H.-M. Voigt, W. Ebeling, I. Rechenberg, and H.-P. Schwefel (Eds.), Berlin: Springer, PPSN IV, Vol. 1141 of Lecture Notes In Computer Science
-
M̈ uhlenbein, H., and Paaß, G. (1996). From recombination of genes to the estimation of distributions. I. Binary parameters. In H.-M. Voigt, W. Ebeling, I. Rechenberg, and H.-P. Schwefel (Eds.), Parallel Problem Solving from Nature, PPSN IV, Vol. 1141 of Lecture Notes in Computer Science (pp. 178-187). Berlin: Springer.
-
(1996)
Parallel Problem Solving From Nature
, pp. 178-187
-
-
M̈uhlenbein, H.1
Paaß, G.2
-
42
-
-
34548098018
-
A maximum entropy approach to sampling in EDA-The single connected case
-
Berlin: Springer
-
Ochoa, A., Ḧons, R., Soto, M. R., and M̈uhlenbein, H. (2003). A maximum entropy approach to sampling in EDA-The single connected case. In Progress in Pattern Recognition, Speech and Image Analysis, Vol. 2905 of Lecture Notes in Computer Science (pp. 683-690). Berlin: Springer.
-
(2003)
Progress In Pattern Recognition, Speech and Image Analysis, Vol. 2905 of Lecture Notes In Computer Science
, pp. 683-690
-
-
Ochoa, A.1
Ḧons, R.2
Soto, M.R.3
M̈uhlenbein, H.4
-
45
-
-
0036180213
-
A survey of optimization by building and using probabilistic models
-
Pelikan, M., Goldberg, D. E., and Lobo, F. (2002). A survey of optimization by building and using probabilistic models. Computational Optimization and Applications, 21(1):5-20.
-
(2002)
Computational Optimization and Applications
, vol.21
, Issue.1
, pp. 5-20
-
-
Pelikan, M.1
Goldberg, D.E.2
Lobo, F.3
-
46
-
-
39849088571
-
Sporadic model building for efficiency enhancement of the hierarchical BOA
-
Pelikan, M., Sastry, K., and Goldberg, D. E. (2008). Sporadic model building for efficiency enhancement of the hierarchical BOA. Genetic Programming and Evolvable Machines, 9(1):53-84.
-
(2008)
Genetic Programming and Evolvable Machines
, vol.9
, Issue.1
, pp. 53-84
-
-
Pelikan, M.1
Sastry, K.2
Goldberg, D.E.3
-
47
-
-
0018015137
-
Modelling by shortest data description
-
Rissanen, J. J. (1978). Modelling by shortest data description. Automatica, (14):465-471.
-
(1978)
Automatica
, vol.14
, pp. 465-471
-
-
Rissanen, J.J.1
-
48
-
-
9444227679
-
A Markov network based factorized distribution algorithm for optimization
-
Berlin: Springer, Vol. 2837 of Lecture Notes In Artificial Intelligence
-
Santana, R. (2003). A Markov network based factorized distribution algorithm for optimization. In Proceedings of the 14th European Conference on Machine Learning (ECML-PKDD 2003), Vol. 2837 of Lecture Notes in Artificial Intelligence (pp. 337-348). Berlin: Springer.
-
(2003)
Proceedings of the 14th European Conference On Machine Learning (ECML-PKDD 2003)
, pp. 337-348
-
-
Santana, R.1
-
49
-
-
15544373328
-
Estimation of distribution algorithms with Kikuchi approximations
-
Santana, R. (2005). Estimation of distribution algorithms with Kikuchi approximations. Evolutionary Computation, 13(1):67-97.
-
(2005)
Evolutionary Computation
, vol.13
, Issue.1
, pp. 67-97
-
-
Santana, R.1
-
50
-
-
72749127950
-
-
Tech. Rep. EHUKZAA-I2/09, Department of Computer Science and Artificial Intelligence, University of the Basque Country
-
Santana, R., Echegoyen, C., Mendiburu, A., Bielza, C., Lozano, J. A., Larrãnaga, P., Armãnanzas, R., and Shakya, S. (2009). MATEDA: A suite of EDA programs in Matlab. Tech. Rep. EHUKZAA-I2/09, Department of Computer Science and Artificial Intelligence, University of the Basque Country.
-
(2009)
Mateda: A suite of eda programs in matlab
-
-
Santana, R.1
Echegoyen, C.2
Mendiburu, A.3
Bielza, C.4
Lozano, J.A.5
Larrãnaga, P.6
Armãnanzas, R.7
Shakya, S.8
-
51
-
-
49049097947
-
Protein folding in simplified models with estimation of distribution algorithms
-
Santana, R., Larrǎnaga, P., and Lozano, J. A. (2008). Protein folding in simplified models with estimation of distribution algorithms. IEEE Transactions on Evolutionary Computation, 12(4):418-438.
-
(2008)
IEEE Transactions On Evolutionary Computation
, vol.12
, Issue.4
, pp. 418-438
-
-
Santana, R.1
Larrǎnaga, P.2
Lozano, J.A.3
-
53
-
-
78649795948
-
Extended compact genetic algorithm in matlab
-
IlliGAL Report 2007009, University of Illinois at Urbana-Champaign, Illinois Genetic Algorithms Laboratory, Urbana, IL
-
Sastry, K., and Orriols-Puig, A. (2007). Extended compact genetic algorithm in Matlab. IlliGAL Report 2007009, University of Illinois at Urbana-Champaign, Illinois Genetic Algorithms Laboratory, Urbana, IL.
-
(2007)
-
-
Sastry, K.1
Orriols-Puig, A.2
-
54
-
-
35248853926
-
A Single Connected Factorized Distribution Algorithm and Its Cost of Evaluation
-
(In Spanish), University of Havana, Havana, Cuba
-
Soto, M. R. (2003). A single connected factorized distribution algorithm and its cost of evaluation (In Spanish). PhD thesis, University of Havana, Havana, Cuba.
-
(2003)
PhD thesis
-
-
Soto, M.R.1
-
55
-
-
51849148839
-
Bayesian evolutionary algorithms based on simplified models
-
A. Ochoa, M. R. Soto, and R. Santana (Eds.)
-
Soto, M. R., Ochoa, A., Acid, S., and Campos, L. M. (1999). Bayesian evolutionary algorithms based on simplified models. In A. Ochoa, M. R. Soto, and R. Santana (Eds.), Proceedings of the Second Symposium on Artificial Intelligence (CIMAF-99), pp. 360-367.
-
(1999)
Proceedings of the Second Symposium On Artificial Intelligence (CIMAF-99)
, pp. 360-367
-
-
Soto, M.R.1
Ochoa, A.2
Acid, S.3
Campos, L.M.4
-
56
-
-
23744513375
-
Constructing free energy approximations and generalized belief propagation algorithms
-
Yedidia, J. S., Freeman, W. T., and Weiss, Y. (2005). Constructing free energy approximations and generalized belief propagation algorithms. IEEE Transactions on Information Theory, 51(7):2282-2312.
-
(2005)
IEEE Transactions On Information Theory
, vol.51
, Issue.7
, pp. 2282-2312
-
-
Yedidia, J.S.1
Freeman, W.T.2
Weiss, Y.3
-
57
-
-
34548071562
-
Amatrix Approach For Finding Extrema: Problems With Modularity, Hierarchy and Overlap
-
University of Illinois at Urbana-Champaign, Urbana, Illinois
-
Yu, T.-L. (2006). Amatrix approach for finding extrema: Problems with modularity, hierarchy and overlap. PhD thesis, University of Illinois at Urbana-Champaign, Urbana, Illinois.
-
(2006)
PhD thesis
-
-
Yu, T.-L.1
-
58
-
-
1842777505
-
-
IlliGAL Report 2003007, University of Illinois at Urbana-Champaign, Illinois Genetic Algorithms Laboratory, Urbana, IL
-
Yu, T.-L., Goldberg, D. E., and Chen, Y.-P. (2003). A genetic algorithm design inspired by organizational theory: A pilot study of a dependency structure matrix driven genetic algorithm. IlliGAL Report 2003007, University of Illinois at Urbana-Champaign, Illinois Genetic Algorithms Laboratory, Urbana, IL.
-
(2003)
A Genetic algorithm design inspired by organizational theory: A pilot study of a dependency structure matrix driven genetic algorithm
-
-
Yu, T.-L.1
Goldberg, D.E.2
Chen, Y.-P.3
|