Conference Paper (2000)

7281.
Conference Paper
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, pp. 262 - 267. IEEE Symposium on Approximate Dynamic Programming and Reinforcement Learning (ADPRL 2007), Honolulu, HI, USA, April 01, 2007 - April 05, 2007. IEEE Computer Society, Piscataway, NJ, USA (2007)
7282.
Conference Paper
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, pp. 254 - 261. IEEE Internatinal Symposium on Approximate Dynamic Programming and Reinforcement Learning (ADPRL 2007), Honolulu, HI, USA, April 01, 2007 - April 05, 2007. IEEE Computer Society, Los Alamitos, CA, USA (2007)
7283.
Conference Paper
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, pp. 465 - 470 (Ed. Verleysen, M.). 15th European Symposium on Artificial Neural Networks (ESANN 2007), Brugge, Belgium, April 25, 2007 - April 27, 2007. D-Side, Evere, Belgium (2007)
7284.
Conference Paper
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, pp. 453 - 458 (Ed. Verleysen, M.). 15th European Symposium on Artificial Neural Networks (ESANN 2007), Brugge, Belgium, April 25, 2007 - April 27, 2007. D-Side, Evere, Belgium (2007)
7285.
Conference Paper
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, pp. 441 - 446 (Ed. Verleysen, M.). 15th European Symposium on Artificial Neural Networks (ESANN 2007), Brugge, Belgium, April 25, 2007 - April 27, 2007. D-Side Publications, Evere, Belgium (2007)
7286.
Conference Paper
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, pp. 247 - 254 (Eds. Sukhatme, G.; Schaal, S.; Burgard, W.; Fox, D.). Robotics: Science and Systems II (RSS 2006), Philadelphia, PA, USA. MIT Press, Cambridge, MA, USA (2007)
7287.
Conference Paper
Gehler, P.; Chapelle, O.: Deterministic Annealing for Multiple-Instance Learning. In: Artificial Intelligence and Statistics, 21-24 March 2007, San Juan, Puerto Rico, pp. 123 - 130 (Eds. Meila, M.; Shen, X.). 11th International Conference on Artificial Intelligence and Statistics (AISTATS 2007), San Juan, Puerto Rico, March 21, 2007 - March 24, 2007. International Machine Learning Society, Madison, WI, USA (2007)
7288.
Conference Paper
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, pp. 3 - 10 (Eds. Sherman, W.; Lin, M.; Steed, A.). IEEE Virtual Reality 2007 (VR 2007), Charlotte, NC, USA, March 10, 2007 - March 14, 2007. IEEE, Piscataway, NJ, USA (2007)
7289.
Conference Paper
Rieping, W.; Habeck, M.; Nilges, M.: Probabilistic Structure Calculation. In: Structure and Biophysics: New Technologies for Current Challenges in Biology and Beyond, pp. 81 - 98 (Ed. Puglisi, J.). International School of Structural Biology and Magnetic Resonance 7th Course: Structure, Structure and Biophysics: New Technologies for Current Challenges in Biology and Beyond , Erice, Italy, June 22, 2005 - July 03, 2005. Springer, Dordrecht, The Netherlands (2007)
7290.
Conference Paper
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, pp. 444 - 451 (Eds. Meila, M.; Shen, X.). 11th International Conference on Artificial Intelligence and Statistics (AISTATS 2007), San Juan, Puerto Rico, March 21, 2007 - March 24, 2007. International Machine Learning Society, Madison, WI, USA (2007)
7291.
Conference Paper
Shen, H.; Jegelka, S.; Gretton, A.: Fast Kernel ICA using an Approximate Newton Method. In: Artificial Intelligence and Statistics, 21-24 March 2007, San Juan, Puerto Rico, pp. 476 - 483 (Eds. Meila, M.; shen, X.). 11th International Conference on Artificial Intelligence and Statistics (AISTATS 2007), San Juan, Puerto Rico, March 21, 2007 - March 24, 2007. International Machine Learning Society, Madison, WI, USA (2007)
7292.
Conference Paper
Teh, Y.; Görür, D.; Ghahramani, Z.: Stick-breaking Construction for the Indian Buffet Process. In: Artificial Intelligence and Statistics, 21-24 March 2007, San Juan, Puerto Rico, pp. 556 - 563 (Eds. Meila, M.; Shen, X.). 11th International Conference on Artificial Intelligence and Statistics (AISTATS 2007), San Juan, Puerto Rico, March 21, 2007 - March 24, 2007. International Machine Learning Society, Madison, WI, USA (2007)
7293.
Conference Paper
Wu, M.; Schölkopf, B.: Transductive Classification via Local Learning Regularization. In: Artificial Intelligence and Statistics, 21-24 March 2007, San Juan, Puerto Rico, pp. 628 - 635 (Eds. Meila, M.; Shen, X.). 11th International Conference on Artificial Intelligence and Statistics (AISTATS 2007), San Juan, Puerto Rico, March 21, 2007 - March 24, 2007. International Machine Learning Society, Madison, WI, USA (2007)
7294.
Conference Paper
Bethge, M.; Gerwinn, S.; Macke, J.: Unsupervised learning of a steerable basis for invariant image representations. In: Human Vision and Electronic Imaging XII: Proceedings of the SPIE Human Vision and Electronic Imaging Conference 2007, pp. 1 - 12 (Eds. Rogowitz, B.; Pappas, T.; Daly, S.). SPIE Human Vision and Electronic Imaging Conference 2007, San Jose, CA, USA, January 28, 2007 - February 01, 2007. SPIE, Bellingham, WA, USA (2007)
7295.
Conference Paper
Bethge, M.; Wiecki, T.; Wichmann, F.: The Independent Components of Natural Images are Perceptually Dependent. In: Human Vision and Electronic Imaging XII: Proceedings of the SPIE Human Vision and Electronic Imaging Conference 2007, pp. 1 - 12 (Eds. Rogowitz, B.; Pappas, T.; Daly, S.). SPIE Human Vision and Electronic Imaging Conference 2007, San Jose, CA, USA, January 28, 2007 - February 01, 2007. SPIE, Bellingham, WA, USA (2007)
7296.
Conference Paper
Borgwardt, K.; Kriegel, H.-P.; Vishwanathan, S.; Schraudolph, N.: Graph kernels for disease outcome prediction from protein-protein interaction networks. In: Biocomputing 2007, Proceedings of the Pacific Symposium, Maui, Hawaii, USA, 3-7 January 2007, pp. 4 - 15 (Eds. Altman, R.; Dunker, A.; Hunter, L.; Murray, T.; Klein, T.). 12. Pacific Symposium on Biocomputing (PSB 2007), Maui, HI, USA, January 03, 2007 - January 07, 2007. World Scientific, Hackensack, NJ, USA (2007)
7297.
Conference Paper
Wallraven, C.; Bülthoff, H.: Object Recognition in Humans and Machines. In: Object Recognition, Attention, and Action, pp. 89 - 104 (Eds. Osaka, N.; Rentschler, I.; Biederman, I.). International Workshop on Object Recognition, Attention, and Action 2004, Kyoto, Japan, August 03, 2004 - August 06, 2004. Springer, Berlin, Germany (2007)
7298.
Conference Paper
Wu, M.; Farquhar, J.: A Subspace Kernel for Nonlinear Feature Extraction. In: IJCAI'07: 20th International Joint Conference on Artifical Intelligence, pp. 1125 - 1130 (Eds. Sangal, R.; Mehta, H.; Bagga, R.). 20th International Joint Conference on Artificial Intelligence (IJCAI-07), Hyderabad, India, January 06, 2007 - January 12, 2007. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA (2007)
7299.
Conference Paper
Blaschko, M.; Hofmann, T.: Conformal Multi-Instance Kernels. In: NIPS 2006 Workshop on Learning to Compare Examples, pp. 1 - 6. NIPS 2006 Workshop on Learning to Compare Examples, Whistler, BC, Canada, December 08, 2006. (2006)
7300.
Conference Paper
Borgwardt, K.; Kriegel, H.-P.; Wackersreuther, P.: Pattern Mining in Frequent Dynamic Subgraphs. In: Sixth International Conference on Data Mining (ICDM'06), pp. 818 - 822. Sixth International Conference on Data Mining (ICDM 2006), Hong Kong, China, December 18, 2006 - December 22, 2006. IEEE Computer Society, Los Alamitos, CA, USA (2006)
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