Group: Metaheuristics - with tag machine-learning [28 articles] Export

Recent papers posted by members of the Metaheuristics group with tag machine-learning

	Black Box Optimization with Data Analysis [My Copy] (2007) by Kevin Kofler posted to continuous covariance expectation-maximization gaussian-mixture machine-learning metaheuristic optimization stochastic by nojhan to the group Metaheuristics on 2009-06-04 10:05:36 as along with 1 group Statistical Machine Learning
	Metaheuristic Clustering [My Copy] Vol. 178 (March 2009) by Swagatam Das, Ajith Abraham, Amit Konar posted to classification clustering machine-learning metaheuristic by nojhan to the group Metaheuristics on 2008-12-08 15:43:05 as
	Multiobjective Optimization and Rule Learning: Subselection Algorithm or Meta-heuristic Algorithm? [My Copy] Innovative Applications in Data Mining (2009), pp. 47-70. by Celso Ishida, Aurora Pozo, Elizabeth Goldbarg, Marco Goldbarg posted to classification grasp machine-learning metaheuristic multi-objective path-relinking by nojhan to the group Metaheuristics on 2008-10-15 10:30:16 as along with 1 group Optimization
	Bias-Variance Techniques for Monte Carlo Optimization: Cross-validation for the CE Method [My Copy] (6 Oct 2008) by Dev Rajnarayan, David Wolpert posted to cross-entropy estimation-of-distribution-algorithm machine-learning metaheuristic monte-carlo by nojhan to the group Metaheuristics on 2008-10-07 13:39:05 as
	Robust Optimizers for Nonlinear Programming in Approximate Dynamic Programming [My Copy] Informatics in Control, Automation and Robotics (2009), pp. 95-106. by Olivier Teytaud, Sylvain Gelly posted to bellman-function-regression continuous covariance-matrix-adaptation dynamic-programming evolutionary-computation gradient machine-learning metaheuristic robustness stochastic support-vector-machine by nojhan to the group Metaheuristics on 2008-10-01 14:41:21 as along with 1 group EvolutionaryComputation
	A Cross-Entropy Based Population Learning Algorithm for Discrete-Continuous Scheduling with Continuous Resource Discretisation [My Copy] Knowledge-Based Intelligent Information and Engineering Systems (2008), pp. 82-89. by Piotr Jędrzejowicz, Aleksander Skakovski posted to continuous cross-entropy discrete evolutionary-computation machine-learning metaheuristic resource-allocation scheduling by nojhan to the group Metaheuristics on 2008-09-23 10:43:49 as along with 3 groups Optimization EvolutionaryComputation Automated planning and scheduling
	Understanding the Metropolis-Hastings Algorithm [My Copy] The American Statistician, Vol. 49, No. 4. (1995), pp. 327-335. by Siddhartha Chib, Edward Greenberg posted to machine-learning metropolis probability-density sampling simulated-annealing by nojhan to the group Metaheuristics on 2008-05-07 16:35:34 as along with 15 people and 1 group fordela ashleygeorge Borelli okouma ldietz pcarbo icosma adriandefroment leonnovelo i-stevenson rvosa jrw quianominorleo ansobol markusd FAB-lab
	Genetic Algorithms in Search, Optimization, and Machine Learning [My Copy] (01 January 1989) by David E. Goldberg posted to metaheuristic machine-learning genetic-algorithm evolutionary-computation by nojhan to the group Metaheuristics on 2007-09-05 15:30:52 as along with 12 people and 2 groups Inoka aan jstephens hr0nix doncieux Arkitus aureli gale82 mcphee sjgaller rsantana mahmoodr EvolutionaryComputation Optimization
	The Problem of Tuning Metaheuristics (Diski: Dissertationen Zur Kuenstlichen Intelligenz) [My Copy] (01 August 2005) by Mauro Birattari posted to performance-assessment parameter-setting metaheuristic machine-learning evolutionary-computation by nojhan to the group Metaheuristics on 2007-09-05 15:20:10 as along with 2 groups EvolutionaryComputation Optimization
	Evolution and Learning in an Intrinsically Motivated Reinforcement Learning Robot [My Copy] Advances in Artificial Life (2007), pp. 294-303. by Massimiliano Schembri, Marco Mirolli, Gianluca Baldassarre posted to robot reinforcement-learning neural-network metaheuristic machine-learning genetic-algorithm evolutionary-computation by nojhan to the group Metaheuristics on 2007-09-05 15:12:14 as along with 2 groups EvolutionaryComputation Optimization
	A nonparametric statistical approach to clustering via mode identification [My Copy] Journal of Machine Learning Research, Vol. 8, No. 8. (2007), pp. 1687-1723. by J. Li, S. Ray, B. G. Lindsay posted to machine-learning em clustering classification by nojhan to the group Metaheuristics on 2007-08-21 09:43:32 as along with 2 groups EvolutionaryComputation Optimization
	Kernel based automatic clustering using modified particle swarm optimization algorithm [My Copy] In GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation (2007), pp. 2-9. by Ajith Abraham, Swagatam Das, Amit Konar posted to particle-swarm-optimization metaheuristic machine-learning kernel by nojhan to the group Metaheuristics on 2007-08-07 10:01:15 as along with 3 people and 2 groups cribeirosilva wtribbey uwenagel EvolutionaryComputation Optimization
	Towards a Theory of Practice in Metaheuristics Design: A Machine Learning Perspective [My Copy] Theoretical Informatics and Applications, Vol. 40, No. 2. (2006), pp. 353-369. by M. Birattari, M. Zlochin, M. Dorigo posted to machine-learning metaheuristic performance-assessment by nojhan to the group Metaheuristics on 2007-02-13 19:14:02 as along with 2 groups EvolutionaryComputation Optimization
	The Elements of Statistical Learning [My Copy] (30 July 2003) by T. Hastie, R. Tibshirani, J. H. Friedman posted to machine-learning statistic by nojhan to the group Metaheuristics on 2007-02-13 15:09:19 as along with 57 people and 9 groups donnachie singhsh abellogin mahmoodr lop idlebrain makrehchi awarlau gabriprat gokopal alexeigor liamtoh333 amsantos minrmw brian eddymier roys akastrin robotact thefillm ansobol pdlug yaroslavvb bigga jelsas davidr gyuli garyfeng aufrank neteler leidner chad_davis jekky balajis Jaykul balicea sdvillal donade bigbossman sbarthelme bedo AbnerCYH bamberg kgajos raiyar deysandeep petrposik dbgrant nmdang alfirk brianmc jung_dalglish dquercia blueskies Repton quianominorleo jaonary CMU-HCII Blog_and_Wiki_Research automatic_summarization ReadingLab ur-cls ASR EvolutionaryComputation Optimization CSBBGraphTheory
	‘Infotaxis’ as a strategy for searching without gradients [My Copy] Nature, Vol. 445, No. 7126., pp. 406-409. by Massimo Vergassola, Emmanuel Villermaux, Boris I. Shraiman posted to simulation robot path optimization modelling machine-learning localization ecology derivative-free bio-inspired artificial-intelligence by nojhan to the group Metaheuristics on 2007-01-29 10:47:28 as along with 5 people and 2 groups memming muraken davidcsterratt cckan ganden EvolutionaryComputation Optimization
	Fat-shattering and the learnability of real-valued functions [My Copy] In COLT '94: Proceedings of the seventh annual conference on Computational learning theory (1994), pp. 299-310. by Peter L. Bartlett, Philip M. Long, Robert C. Williamson posted to statistic random noise machine-learning continuous by nojhan to the group Metaheuristics on 2007-01-25 08:35:16 as along with 1 person and 2 groups ded_maxim EvolutionaryComputation Optimization
	Map-based navigation in mobile robots: II. A review of map-learning and path-planning strategies [My Copy] Cognitive Systems Research, Vol. 4, No. 4. (December 2003), pp. 283-317. by J. Meyer posted to robot planning path navigation machine-learning by nojhan to the group Metaheuristics on 2007-01-23 13:50:09 as along with 3 people and 2 groups Charence wentang gatsoulis EvolutionaryComputation Optimization
	A multi-level thresholding approach using a hybrid optimal estimation algorithm [My Copy] Pattern Recognition Letters, Vol. 28, No. 5. (1 April 2007), pp. 662-669. by Shu-Kai S. Fan, Yen Lin posted to particle-swarm-optimization metaheuristic machine-learning hybridization gaussian-mixture evolutionary-computation em by nojhan to the group Metaheuristics on 2007-01-16 13:01:19 as along with 2 groups EvolutionaryComputation Optimization
	Linkage Learning via Probabilistic Modeling in the Extended Compact Genetic Algorithm (ECGA) [My Copy] : Scalable Optimization via Probabilistic Modeling (2006), pp. 39-61. by Georges R. Harik, Fernando G. Lobo, Kumara Sastry posted to probability-density probability metaheuristic machine-learning genetic-algorithm evolutionary-computation by nojhan to the group Metaheuristics on 2007-01-15 17:20:31 as along with 1 person and 2 groups kuaaaaa EvolutionaryComputation Optimization
	A Gentle Tutorial on the EM Algorithm and its Application to Parameter Estimation for Gaussian Mixture and Hidden Markov Models [My Copy] (1997) by J. Bilmes posted to em gaussian-mixture machine-learning markov parameter-estimation by nojhan to the group Metaheuristics on 2006-12-19 13:36:16 as along with 11 people and 3 groups Quixote m0ta bigga danpopovici oannes pool007 sugarexpletive vitalaswp3 360varial asterix77 eddymier EvolutionaryComputation Regulomics_UCHSC Optimization
	Understanding the Yarowsky Algorithm [My Copy] Computational Linguistics, Vol. 30, No. 3. (September 2004), pp. 365-395. by Steven Abney posted to machine-learning optimization yarowski by nojhan to the group Metaheuristics on 2006-12-13 07:31:45 as along with 4 people and 2 groups ansobol davidr andi_urra KevinMcGowan EvolutionaryComputation Optimization
	Genetic algorithms in constructive induction [My Copy] Lecture Notes in Computer Science : Foundations of Intelligent Systems (1999), pp. 665-673. by Jacek Jelonek, Maciej Komosiåski posted to classification evolutionary-computation machine-learning metaheuristic by nojhan to the group Metaheuristics on 2006-12-12 16:56:16 as along with 2 groups EvolutionaryComputation Optimization
	Pattern Recognition and Machine Learning (Information Science and Statistics) [My Copy] (01 October 2007) by Christopher M. Bishop posted to machine-learning pattern-recognition by nojhan to the group Metaheuristics on 2006-09-26 18:44:17 as along with 50 people and 4 groups bklynbam gavin1332 ecome psychorav mircea longtop resilla bertelsen ocs sugarexpletive bgibson tkf mthomure emre haiyeong h-chi brian sbarthelme bayes mboehmer paulclinger thefillm stibor ppeeling yaroslavvb sdvillal gkvas paulinus ajylha helsley hawkes zeppe poluxmoon librain kohei-h brianmc napvasconcelos teesid robotact Hoertnagl matjes eddymier delip markusd filippone singhsh ssomani pprett rwilliamson Dukhat EvolutionaryComputation Optimization contact-id MuSAMA
	A combination of modified particle swarm optimization algorithm and support vector machine for gene selection and tumor classification [My Copy] Talanta, Vol. In Press, Corrected Proof by Qi Shen, Wei-Min Shi, Wei Kong, Bao-Xian Ye posted to machine-learning metaheuristic particle-swarm-optimization support-vector-machine by nojhan to the group Metaheuristics on 2006-09-04 20:22:53 as along with 2 groups EvolutionaryComputation Optimization
	The LEM3 implementation of learnable evolution model and its testing on complex function optimization problems [My Copy] In GECCO '06: Proceedings of the 8th annual conference on Genetic and evolutionary computation (2006), pp. 1281-1288. by Janusz Wojtusiak, Ryszard S. Michalski posted to continuous evolutionary-computation machine-learning metaheuristic optimization by nojhan to the group Metaheuristics on 2006-08-31 08:39:33 as along with 2 groups EvolutionaryComputation Optimization
	Probabilistic modeling for continuous EDA with Boltzmann selection and Kullback-Leibeler divergence [My Copy] In GECCO '06: Proceedings of the 8th annual conference on Genetic and evolutionary computation (2006), pp. 389-396. by Cai Yunpeng, Sun Xiaomin, Jia Peifa posted to boltzmann estimation-of-distribution-algorithm kullback machine-learning by nojhan to the group Metaheuristics on 2006-08-31 08:18:16 as along with 2 people and 3 groups rsantana lmarti EvolutionaryComputation Optimization estimation_of_distribution_algorithms
	Cross Entropy Approximation of Structured Covariance Matrices [My Copy] (30 Aug 2006) by Cheng-Yuan Liou, Bruce R. Musicus posted to approximation covariance cross-entropy kullback machine-learning probability-density by nojhan to the group Metaheuristics on 2006-08-31 08:07:16 as along with 2 groups EvolutionaryComputation Optimization
	Occam's hammer: a link between randomized learning and multiple testing FDR control [My Copy] (29 Aug 2006) by Gilles Blanchard, François Fleuret posted to machine-learning population selection stochastic by nojhan to the group Metaheuristics on 2006-08-31 08:04:31 as along with 2 groups EvolutionaryComputation Optimization

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Group: Metaheuristics - with tag machine-learning [28 articles] Export

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