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Franchi, A.; Freda , L.; Oriolo, G.; Vendittelli, M.: A randomized strategy for cooperative robot exploration. In: 2007 IEEE International Conference on Robotics and Automation, pp. 768 - 774. IEEE International Conference on Robotics and Automation (ICRA 2007), Rome, Italy, April 10, 2007 - April 14, 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, pp. 515 - 520 (Eds. Apte, C.; Skillicorn, D.; Liu, B.; Parthasarathy, S.). Seventh SIAM International Conference on Data Mining (SDM 2007), Minneapolis, MN, USA, April 26, 2007 - April 28, 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, pp. 343 - 354 (Eds. Apte, C.; Skillicorn, D.; Liu, B.; Parthasarathy, S.). Seventh SIAM International Conference on Data Mining (SDM 2007), Minneapolis, MN, USA, April 26, 2007 - April 28, 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, pp. 295 - 300 (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)

Peters, J.; Schaal, S.: Learning Operational Space Control. In: Robotics: Science and Systems II, pp. 255 - 262 (Eds. Sukhatme, G.; Schaal, S.; Burgard, W.; Fox, D.). Robotics: Science and Systems II (RSS 2006), Philadelphia, PA, USA, August 16, 2006 - August 19, 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, pp. 2111 - 2116. 2007 IEEE International Conference on Robotics and Automation (ICRA 2007), Roma, Italy, April 10, 2007 - April 14, 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, 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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)