Suchergebnisse

Zien, A.; De Bona, F.; Ong, C.: Training and Approximation of a Primal Multiclass Support Vector Machine. In: XIIth International Conference on Applied Stochastic Models and Data Analysis (ASMDA 2007), 1 (Hg. Skiadas, C.). XIIth International Conference on Applied Stochastic Models and Data Analysis (ASMDA 2007), Chania, Greece, 29. Mai 2007 - 01. Juni 2007. (2007)

Zien, A.; Ong, C.: Multiclass Multiple Kernel Learning. In: ICML '07: 24th International Conference on Machine Learning, S. 1191 - 1198 (Hg. Ghahramani, Z.). 24th International Conference on Machine Learning (ICML 2007), Corvallis, OR, USA, 20. Juni 2007 - 24. Juni 2007. ACM Press, New York, NY, USA (2007)

Burkov, A.; Boularias, A.; Chaib-Draa, B.: Competition and Coordination in Stochastic Games. In: Advances in Artificial Intelligence: 20th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2007, Montreal, Canada, May 28-30, 2007, S. 26 - 37 (Hg. Kobti, Z.; Wu, D.). 20th Conference of the Canadian Society for Computational Studies of Intelligence (Canadian AI 2007), Montreal, Canada, 28. Mai 2007 - 30. Mai 2007. Springer, Berlin, Germany (2007)

De Luca, A.; Mattone, R.; Robuffo Giordano, P.: Acceleration-level control of the CyberCarpet. In: 2007 IEEE International Conference on Robotics and Automation, S. 2330 - 2335. IEEE International Conference on Robotics and Automation (ICRA 2007), Roma, Italy, 10. April 2007 - 14. April 2007. IEEE Service Center, Piscataway, NJ, USA (2007)

De Luca, A.; Oriolo, G.; Robuffo Giordano, P.: On-Line Estimation of Feature Depth for Image-Based Visual Servoing Schemes. In: 2007 IEEE International Conference on Robotics and Automation, S. 2823 - 2828. IEEE International Conference on Robotics and Automation (ICRA 2007), Roma, Italy, 10. April 2007 - 14. April 2007. IEEE, Piscatawy, NJ, USA (2007)

Franchi, A.; Freda , L.; Oriolo, G.; Vendittelli, M.: A randomized strategy for cooperative robot exploration. In: 2007 IEEE International Conference on Robotics and Automation, S. 768 - 774. IEEE International Conference on Robotics and Automation (ICRA 2007), Rome, Italy, 10. April 2007 - 14. April 2007. IEEE Service Center, Piscataway, NJ, USA (2007)

Ide, T.; Tsuda, K.: Change-Point Detection using Krylov Subspace Learning. In: 2007 SIAM International Conference on Data Mining, S. 515 - 520 (Hg. Apte, C.; Skillicorn, D.; Liu, B.; Parthasarathy, S.). Seventh SIAM International Conference on Data Mining (SDM 2007), Minneapolis, MN, USA, 26. April 2007 - 28. April 2007. Society for Industrial and Applied Mathematics, Pittsburgh, PA, USA (2007)

Kim, D.; Sra, S.; Dhillon, I.: Fast Newton-type Methods for the Least Squares Nonnegative Matrix Approximation Problem. In: 2007 SIAM International Conference on Data Mining, S. 343 - 354 (Hg. Apte, C.; Skillicorn, D.; Liu, B.; Parthasarathy, S.). Seventh SIAM International Conference on Data Mining (SDM 2007), Minneapolis, MN, USA, 26. April 2007 - 28. April 2007. Society for Industrial and Applied Mathematics, Pittsburgh, PA, USA (2007)

Peters, J.; Schaal, S.: Applying the Episodic Natural Actor-Critic Architecture to Motor Primitive Learning. In: Advances in computational intelligence and learning: 15th European Symposium on Artificial Neural Networks: ESANN 2007, S. 295 - 300 (Hg. Verleysen, M.). 15th European Symposium on Artificial Neural Networks (ESANN 2007), Brugge, Belgium, 25. April 2007 - 27. April 2007. D-Side, Evere, Belgium (2007)

Peters, J.; Schaal, S.: Learning Operational Space Control. In: Robotics: Science and Systems II, S. 255 - 262 (Hg. Sukhatme, G.; Schaal, S.; Burgard, W.; Fox, D.). Robotics: Science and Systems II (RSS 2006), Philadelphia, PA, USA, 16. August 2006 - 19. August 2006. MIT Press, Cambridge, MA, USA (2007)

Peters, J.; Schaal, S.: Reinforcement Learning for Operational Space Control. In: 2007 IEEE International Conference on Robotics and Automation, S. 2111 - 2116. 2007 IEEE International Conference on Robotics and Automation (ICRA 2007), Roma, Italy, 10. April 2007 - 14. April 2007. IEEE Computer Society, Los Alamitos, CA, USA (2007)

Peters, J.; Schaal, S.: Using Reward-weighted Regression for Reinforcement Learning of Task Space Control. In: 2007 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning, S. 262 - 267. IEEE Symposium on Approximate Dynamic Programming and Reinforcement Learning (ADPRL 2007), Honolulu, HI, USA, 01. April 2007 - 05. April 2007. IEEE Computer Society, Piscataway, NJ, USA (2007)

Riedmiller, M.; Peters, J.; Schaal, S.: Evaluation of Policy Gradient Methods and Variants on the Cart-Pole Benchmark. In: 2007 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning, S. 254 - 261. IEEE Internatinal Symposium on Approximate Dynamic Programming and Reinforcement Learning (ADPRL 2007), Honolulu, HI, USA, 01. April 2007 - 05. April 2007. IEEE Computer Society, Los Alamitos, CA, USA (2007)

Sun, X.; Janzing, D.: Exploring the causal order of binary variables via exponential hierarchies of Markov kernels. In: Advances in computational intelligence and learning: 15th European Symposium on Artificial Neural Networks: ESANN 2007, S. 465 - 470 (Hg. Verleysen, M.). 15th European Symposium on Artificial Neural Networks (ESANN 2007), Brugge, Belgium, 25. April 2007 - 27. April 2007. D-Side, Evere, Belgium (2007)

Sun, X.; Janzing, D.: Learning causality by identifying common effects with kernel-based dependence measures. In: Advances in computational intelligence and learning: 15th European Symposium on Artificial Neural Networks: ESANN 2007, S. 453 - 458 (Hg. Verleysen, M.). 15th European Symposium on Artificial Neural Networks (ESANN 2007), Brugge, Belgium, 25. April 2007 - 27. April 2007. D-Side, Evere, Belgium (2007)

Sun, X.; Janzing, D.; Schölkopf, B.: Distinguishing Between Cause and Effect via Kernel-Based Complexity Measures for Conditional Distributions. In: Advances in computational intelligence and learning: 15th European Symposium on Artificial Neural Networks: ESANN 2007, S. 441 - 446 (Hg. Verleysen, M.). 15th European Symposium on Artificial Neural Networks (ESANN 2007), Brugge, Belgium, 25. April 2007 - 27. April 2007. D-Side Publications, Evere, Belgium (2007)

Ting, J.-A.; Mistry, M.; Peters, J.; Schaal, S.; Nakanishi, J.: A Bayesian Approach to Nonlinear Parameter Identification for Rigid Body Dynamics. In: Robotics: Science and Systems II, S. 247 - 254 (Hg. Sukhatme, G.; Schaal, S.; Burgard, W.; Fox, D.). Robotics: Science and Systems II (RSS 2006), Philadelphia, PA, USA. MIT Press, Cambridge, MA, USA (2007)

Gehler, P.; Chapelle, O.: Deterministic Annealing for Multiple-Instance Learning. In: Artificial Intelligence and Statistics, 21-24 March 2007, San Juan, Puerto Rico, S. 123 - 130 (Hg. Meila, M.; Shen, X.). 11th International Conference on Artificial Intelligence and Statistics (AISTATS 2007), San Juan, Puerto Rico, 21. März 2007 - 24. März 2007. International Machine Learning Society, Madison, WI, USA (2007)

Riecke, B.; Wiener, J.: Can People Not Tell Left from Right in VR? Point-to-origin Studies Revealed Qualitative Errors in Visual Path Integration. In: 2007 IEEE Virtual Reality Conference, S. 3 - 10 (Hg. Sherman, W.; Lin, M.; Steed, A.). IEEE Virtual Reality 2007 (VR 2007), Charlotte, NC, USA, 10. März 2007 - 14. März 2007. IEEE, Piscataway, NJ, USA (2007)

Seeger, M.; Steinke, F.; Tsuda, K.: Bayesian Inference and Optimal Design in the Sparse Linear Model. In: Artificial Intelligence and Statistics, 21-24 March 2007, San Juan, Puerto Rico, S. 444 - 451 (Hg. Meila, M.; Shen, X.). 11th International Conference on Artificial Intelligence and Statistics (AISTATS 2007), San Juan, Puerto Rico, 21. März 2007 - 24. März 2007. International Machine Learning Society, Madison, WI, USA (2007)