293 results
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**Stick-breaking Construction for the Indian Buffet Process**
In *JMLR Workshop and Conference Proceedings Volume 2: AISTATS 2007*, pages: 556-563, (Editors: Meila, M. , X. Shen), MIT Press, Cambridge, MA, USA, 11th International Conference on Artificial Intelligence and Statistics, March 2007 (inproceedings)

**Fast Kernel ICA using an Approximate Newton Method**
In *JMLR Workshop and Conference Proceedings Volume 2: AISTATS 2007*, pages: 476-483, (Editors: Meila, M. , X. Shen), MIT Press, Cambridge, MA, USA, 11th International Conference on Artificial Intelligence and Statistics, March 2007 (inproceedings)

**Transductive Classification via Local Learning Regularization**
In *JMLR Workshop and Conference Proceedings Volume 2: AISTATS 2007*, pages: 628-635, (Editors: M Meila and X Shen), 11th International Conference on Artificial Intelligence and Statistics, March 2007 (inproceedings)

**The Independent Components of Natural Images are Perceptually Dependent**
In *Human Vision and Electronic Imaging XII*, pages: 1-12, (Editors: Rogowitz, B. E.), SPIE, Bellingham, WA, USA, SPIE Human Vision and Electronic Imaging Conference, February 2007 (inproceedings)

**Unsupervised learning of a steerable basis for invariant image representations**
In *Human Vision and Electronic Imaging XII*, pages: 1-12, (Editors: Rogowitz, B. E.), SPIE, Bellingham, WA, USA, SPIE Human Vision and Electronic Imaging Conference, February 2007 (inproceedings)

**A Subspace Kernel for Nonlinear Feature Extraction**
In *IJCAI-07*, pages: 1125-1130, (Editors: Veloso, M. M.), AAAI Press, Menlo Park, CA, USA, International Joint Conference on Artificial Intelligence, January 2007 (inproceedings)

**Graph kernels for disease outcome prediction from protein-protein interaction networks**
In pages: 4-15, (Editors: Altman, R.B. A.K. Dunker, L. Hunter, T. Murray, T.E. Klein), World Scientific, Hackensack, NJ, USA, Pacific Symposium on Biocomputing (PSB), January 2007 (inproceedings)

**Independent Factor Reinforcement Learning for Portfolio Management**
In *Proceedings of the 8th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2007)*, pages: 1020-1031, (Editors: H Yin and P Tiño and E Corchado and W Byrne and X Yao), Springer, Berlin, Germany, 8th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL), 2007 (inproceedings)

**Kernel-Based Nonlinear Independent Component Analysis**
In *Independent Component Analysis and Signal Separation, 7th International Conference, ICA 2007*, pages: 301-308, (Editors: M E Davies and C J James and S A Abdallah and M D Plumbley), Springer, 7th International Conference on Independent Component Analysis and Signal Separation (ICA), 2007, Lecture Notes in Computer Science, Vol. 4666 (inproceedings)

**Towards Machine Learning of Motor Skills**
In *Proceedings of Autonome Mobile Systeme (AMS)*, pages: 138-144, (Editors: K Berns and T Luksch), 2007, clmc (inproceedings)

**Reinforcement Learning for Optimal Control of Arm Movements**
In *Abstracts of the 37st Meeting of the Society of Neuroscience.*, Neuroscience, 2007, clmc (inproceedings)

**Reinforcement learning by reward-weighted regression for operational space control**
In *Proceedings of the 24th Annual International Conference on Machine Learning*, pages: 745-750, ICML, 2007, clmc (inproceedings)

**Policy gradient methods for machine learning**
In *Proceedings of the 14th INFORMS Conference of the Applied Probability Society*, pages: 97-98, Eindhoven, Netherlands, July 9-11, 2007, 2007, clmc (inproceedings)

**Policy Learning for Motor Skills**
In *Proceedings of 14th International Conference on Neural Information Processing (ICONIP)*, pages: 233-242, (Editors: Ishikawa, M. , K. Doya, H. Miyamoto, T. Yamakawa), 2007, clmc (inproceedings)

**Reinforcement learning for operational space control**
In *Proceedings of the 2007 IEEE International Conference on Robotics and Automation*, pages: 2111-2116, IEEE Computer Society, ICRA, 2007, clmc (inproceedings)

**Using reward-weighted regression for reinforcement learning of task space control**
In *Proceedings of the 2007 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning*, pages: 262-267, Honolulu, Hawaii, April 1-5, 2007, 2007, clmc (inproceedings)

**Evaluation of Policy Gradient Methods and Variants on the Cart-Pole Benchmark**
In *Proceedings of the 2007 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning*, pages: 254-261, ADPRL, 2007, clmc (inproceedings)

**Gender Classification of Human Faces**
In *Biologically Motivated Computer Vision*, pages: 1-18, (Editors: Bülthoff, H. H., S.W. Lee, T. A. Poggio and C. Wallraven), Springer, Berlin, Germany, Second International Workshop on Biologically Motivated Computer Vision (BMCV), November 2002 (inproceedings)

**Insect-Inspired Estimation of Self-Motion**
In *Biologically Motivated Computer Vision*, (2525):171-180, LNCS, (Editors: Bülthoff, H.H. , S.W. Lee, T.A. Poggio, C. Wallraven), Springer, Berlin, Germany, Second International Workshop on Biologically Motivated Computer Vision (BMCV), November 2002 (inproceedings)

**Combining sensory Information to Improve Visualization**
In *Proceedings of the Conference on Visualization ‘02 (VIS ‘02)*, pages: 571-574, (Editors: Moorhead, R. , M. Joy), IEEE, Piscataway, NJ, USA, IEEE Conference on Visualization (VIS '02), October 2002 (inproceedings)

**Sampling Techniques for Kernel Methods **
In *Advances in neural information processing systems 14 *, pages: 335-342, (Editors: TG Dietterich and S Becker and Z Ghahramani), MIT Press, Cambridge, MA, USA, 15th Annual Neural Information Processing Systems Conference (NIPS), September 2002 (inproceedings)

**The Infinite Hidden Markov Model**
In *Advances in Neural Information Processing Systems 14*, pages: 577-584, (Editors: Dietterich, T.G. , S. Becker, Z. Ghahramani), MIT Press, Cambridge, MA, USA, Fifteenth Annual Neural Information Processing Systems Conference (NIPS), September 2002 (inproceedings)

**A new discriminative kernel from probabilistic models**
In *Advances in Neural Information Processing Systems 14*, pages: 977-984, (Editors: Dietterich, T.G. , S. Becker, Z. Ghahramani), MIT Press, Cambridge, MA, USA, Fifteenth Annual Neural Information Processing Systems Conference (NIPS), September 2002 (inproceedings)

**Incorporating Invariances in Non-Linear Support Vector Machines **
In *Advances in Neural Information Processing Systems 14*, pages: 609-616, (Editors: TG Dietterich and S Becker and Z Ghahramani), MIT Press, Cambridge, MA, USA, 15th Annual Neural Information Processing Systems Conference (NIPS), September 2002 (inproceedings)

**Kernel feature spaces and nonlinear blind source separation**
In *Advances in Neural Information Processing Systems 14*, pages: 761-768, (Editors: Dietterich, T. G., S. Becker, Z. Ghahramani), MIT Press, Cambridge, MA, USA, Fifteenth Annual Neural Information Processing Systems Conference (NIPS), September 2002 (inproceedings)

**Algorithms for Learning Function Distinguishable Regular Languages**
In *Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition*, pages: 64-73, (Editors: Caelli, T. , A. Amin, R. P.W. Duin, M. Kamel, D. de Ridder), Springer, Berlin, Germany, Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, August 2002 (inproceedings)

**Decision Boundary Pattern Selection for Support Vector Machines**
In *Proc. of the Korean Data Mining Conference*, pages: 33-41, Korean Data Mining Conference, May 2002 (inproceedings)

**k-NN based Pattern Selection for Support Vector Classifiers**
In *Proc. of the Korean Industrial Engineers Conference*, pages: 645-651, Korean Industrial Engineers Conference, May 2002 (inproceedings)

**Microarrays: How Many Do You Need?**
In *RECOMB 2002*, pages: 321-330, ACM Press, New York, NY, USA, Sixth Annual International Conference on Research in Computational Molecular Biology, April 2002 (inproceedings)

**Pattern Selection for Support Vector Classifiers**
In *Ideal 2002*, pages: 97-103, (Editors: Yin, H. , N. Allinson, R. Freeman, J. Keane, S. Hubbard), Springer, Berlin, Germany, Third International Conference on Intelligent Data Engineering and Automated Learning, January 2002 (inproceedings)

**The leave-one-out kernel**
In *Artificial Neural Networks -- ICANN 2002*, 2415, pages: 727-732, LNCS, (Editors: Dorronsoro, J. R.), Artificial Neural Networks -- ICANN, 2002 (inproceedings)

**Localized Rademacher Complexities**
In *Proceedings of the 15th annual conference on Computational Learning Theory*, pages: 44-58, Proceedings of the 15th annual conference on Computational Learning Theory, 2002 (inproceedings)

**Film Cooling: A Comparative Study of Different Heaterfoil Configurations for Liquid Crystals Experiments**
In *ASME TURBO EXPO 2002, Amsterdam*, GT-2002-30552, ASME TURBO EXPO, Amsterdam, 2002 (inproceedings)

**Some Local Measures of Complexity of Convex Hulls and Generalization Bounds**
In *Proceedings of the 15th annual conference on Computational Learning Theory*, Proceedings of the 15th annual conference on Computational Learning Theory, 2002 (inproceedings)

**A kernel approach for learning from almost orthogonal patterns**
In *Principles of Data Mining and Knowledge Discovery, Lecture Notes in Computer Science*, 2430/2431, pages: 511-528, Lecture Notes in Computer Science, (Editors: T Elomaa and H Mannila and H Toivonen), Springer, Berlin, Germany, 13th European Conference on Machine Learning (ECML) and 6th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'2002), 2002 (inproceedings)

**Infinite Mixtures of Gaussian Process Experts**
In (Editors: Dietterich, Thomas G.; Becker, Suzanna; Ghahramani, Zoubin), 2002 (inproceedings)

**Marginalized kernels for RNA sequence data analysis**
In *Genome Informatics 2002*, pages: 112-122, (Editors: Lathtop, R. H.; Nakai, K.; Miyano, S.; Takagi, T.; Kanehisa, M.), Genome Informatics, 2002, (Best Paper Award) (inproceedings)

**Luminance Artifacts on CRT Displays**
In *IEEE Visualization*, pages: 571-574, (Editors: Moorhead, R.; Gross, M.; Joy, K. I.), IEEE Visualization, 2002 (inproceedings)

**Quality Prediction of Steel Products using Neural Networks**
In *Proc. of the Korean Expert System Conference*, pages: 112-124, Korean Expert System Society Conference, November 1996 (inproceedings)

**Comparison of view-based object recognition algorithms using realistic 3D models**
In *Artificial Neural Networks: ICANN 96, LNCS, vol. 1112*, pages: 251-256, Lecture Notes in Computer Science, (Editors: C von der Malsburg and W von Seelen and JC Vorbrüggen and B Sendhoff), Springer, Berlin, Germany, 6th International Conference on Artificial Neural Networks, July 1996 (inproceedings)

**Incorporating invariances in support vector learning machines**
In *Artificial Neural Networks: ICANN 96, LNCS vol. 1112*, pages: 47-52, (Editors: C von der Malsburg and W von Seelen and JC Vorbrüggen and B Sendhoff), Springer, Berlin, Germany, 6th International Conference on Artificial Neural Networks, July 1996, volume 1112 of Lecture Notes in Computer Science
(inproceedings)

**A practical Monte Carlo implementation of Bayesian
learning**
In *Advances in Neural Information Processing Systems 8*, pages: 598-604, (Editors: Touretzky, D.S. , M.C. Mozer, M.E. Hasselmo), MIT Press, Cambridge, MA, USA, Ninth Annual Conference on Neural Information Processing Systems (NIPS), June 1996 (inproceedings)

**Gaussian Processes for Regression**
In *Advances in neural information processing systems 8*, pages: 514-520, (Editors: Touretzky, D.S. , M.C. Mozer, M.E. Hasselmo), MIT Press, Cambridge, MA, USA, Ninth Annual Conference on Neural Information Processing Systems (NIPS), June 1996 (inproceedings)