Group: Optimization - with tag machine-learning [26 articles] Export

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

	Using machine learning to focus iterative optimization [My Copy] Code Generation and Optimization, 2006. CGO 2006. International Symposium on In Code Generation and Optimization, 2006. CGO 2006. International Symposium on (2006), 11 pp.. by F. Agakov, E. Bonilla, J. Cavazos, et al.B. Franke, G. Fursin, M. F. P. O'Boyle, J. Thomson, M. Toussaint, C. K. I. Williams posted to compiler machine-learning markov metaheuristic model optimization by nojhan to the group Optimization on 2009-04-01 09:42:38 as along with 1 person and 1 group dominik-g Statistical Machine Learning
	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 Optimization on 2008-10-15 10:30:16 as along with 1 group Metaheuristics
	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 Optimization on 2008-09-23 10:43:49 as along with 3 groups Metaheuristics EvolutionaryComputation Automated planning and scheduling
	The discovery of structural form. [My Copy] Proceedings of the National Academy of Sciences of the United States of America, Vol. 105, No. 31. (5 August 2008), pp. 10687-10692. by Charles Kemp, Joshua B. Tenenbaum posted to classification clustering data-mining dimension-reduction machine-learning probability by nojhan to the group Optimization on 2008-09-02 20:05:32 as along with 30 people and 2 groups briordan lmaurits anon_pl mthomure TRHvidsten ckai1 prydzews qwermish thiagomanel linhares vlachmore stober stringertheory thefillm amatos markstoehr uhhhhhhhhhhm A_Olympia tmmurali jmchauvet shigepong rsantana tbloomf kevinemamy markusd jborn deubel guhjy Zephyrus jago logics of knowledge Roswell Cancer Crosstalk
	Geodesic Gaussian kernels for value function approximation [My Copy] Autonomous Robots by Masashi Sugiyama, Hirotaka Hachiya, Christopher Towell, Sethu Vijayakumar posted to classification gaussian-mixture machine-learning markov navigation optimization path reinforcement-learning robot by nojhan to the group Optimization on 2008-07-11 14:37:12 as
	Genetic Algorithms in Search, Optimization, and Machine Learning [My Copy] (11 January 1989) by David E. Goldberg posted to metaheuristic machine-learning genetic-algorithm evolutionary-computation by nojhan to the group Optimization 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 Metaheuristics
	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 Optimization on 2007-09-05 15:20:10 as along with 2 groups EvolutionaryComputation Metaheuristics
	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 Optimization on 2007-09-05 15:12:14 as along with 2 groups EvolutionaryComputation Metaheuristics
	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 Optimization on 2007-08-21 09:43:32 as along with 2 groups EvolutionaryComputation Metaheuristics
	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 Optimization on 2007-08-07 10:01:15 as along with 3 people and 2 groups cribeirosilva wtribbey uwenagel EvolutionaryComputation Metaheuristics
	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 Optimization on 2007-02-13 19:14:02 as along with 2 groups EvolutionaryComputation Metaheuristics
	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 Optimization on 2007-02-13 15:09:19 as along with 61 people and 10 groups ulmer fjanoos azhdari emailhy 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 LDA and dimension reduction techniques CMU-HCII Blog_and_Wiki_Research automatic_summarization ReadingLab ur-cls ASR EvolutionaryComputation Metaheuristics CSBBGraphTheory
	\|[lsquo]\|Infotaxis\|[rsquo]\| as a strategy for searching without gradients [My Copy] Nature, Vol. 445, No. 7126. (25 January 2007), 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 Optimization on 2007-01-29 10:47:28 as along with 5 people and 2 groups memming muraken davidcsterratt cckan ganden EvolutionaryComputation Metaheuristics
	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 Optimization on 2007-01-25 08:35:16 as along with 1 person and 2 groups ded_maxim EvolutionaryComputation Metaheuristics
	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 Optimization on 2007-01-23 13:50:09 as along with 4 people and 2 groups johnabender Charence wentang gatsoulis EvolutionaryComputation Metaheuristics
	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 Optimization on 2007-01-16 13:01:19 as along with 2 groups EvolutionaryComputation Metaheuristics
	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 Optimization on 2007-01-15 17:20:31 as along with 1 person and 2 groups kuaaaaa EvolutionaryComputation Metaheuristics
	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 Optimization 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 Metaheuristics
	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 Optimization on 2006-12-13 07:31:45 as along with 4 people and 2 groups ansobol davidr andi_urra KevinMcGowan EvolutionaryComputation Metaheuristics
	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 Optimization on 2006-12-12 16:56:16 as along with 2 groups EvolutionaryComputation Metaheuristics
	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 Optimization on 2006-09-26 18:44:17 as along with 54 people and 5 groups fjanoos pjmaybank emailhy pingmei 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 Tracking Methods EvolutionaryComputation Metaheuristics 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 Optimization on 2006-09-04 20:22:53 as along with 2 groups EvolutionaryComputation Metaheuristics
	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 Optimization on 2006-08-31 08:39:33 as along with 2 groups EvolutionaryComputation Metaheuristics
	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 Optimization on 2006-08-31 08:18:16 as along with 2 people and 3 groups rsantana lmarti EvolutionaryComputation Metaheuristics 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 Optimization on 2006-08-31 08:07:16 as along with 2 groups EvolutionaryComputation Metaheuristics
	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 Optimization on 2006-08-31 08:04:31 as along with 2 groups EvolutionaryComputation Metaheuristics

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Group: Optimization - with tag machine-learning [26 articles] Export

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