234 results
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**A Local Learning Approach for Clustering**
In *Advances in Neural Information Processing Systems 19*, pages: 1529-1536, (Editors: B Schölkopf and J Platt and T Hofmann), MIT Press, Cambridge, MA, USA, 20th Annual Conference on Neural Information Processing Systems (NIPS), September 2007 (inproceedings)

**Branch and Bound for Semi-Supervised Support Vector Machines**
In *Advances in Neural Information Processing Systems 19*, pages: 217-224, (Editors: Schölkopf, B. , J. Platt, T. Hofmann), MIT Press, Cambridge, MA, USA, Twentieth Annual Conference on Neural Information Processing Systems (NIPS), September 2007 (inproceedings)

**A Kernel Method for the Two-Sample-Problem**
In *Advances in Neural Information Processing Systems 19*, pages: 513-520, (Editors: B Schölkopf and J Platt and T Hofmann), MIT Press, Cambridge, MA, USA, 20th Annual Conference on Neural Information Processing Systems (NIPS), September 2007 (inproceedings)

**An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models**
In *Advances in Neural Information Processing Systems 19*, pages: 673-680, (Editors: Schölkopf, B. , J. Platt, T. Hofmann), MIT Press, Cambridge, MA, USA, Twentieth Annual Conference on Neural Information Processing Systems (NIPS), September 2007 (inproceedings)

**Learning Dense 3D Correspondence**
In *Advances in Neural Information Processing Systems 19*, pages: 1313-1320, (Editors: B Schölkopf and J Platt and T Hofmann), MIT Press, Cambridge, MA, USA, 20th Annual Conference on Neural Information Processing Systems (NIPS), September 2007 (inproceedings)

**Optimal Dominant Motion Estimation using Adaptive Search of Transformation Space**
In *DAGM 2007*, pages: 204-215, (Editors: Hamprecht, F. A., C. Schnörr, B. Jähne), Springer, Berlin, Germany, 29th Annual Symposium of the German Association for Pattern Recognition, September 2007 (inproceedings)

**Output Grouping using Dirichlet Mixtures of Linear Gaussian State-Space Models**
In *ISPA 2007*, pages: 446-451, IEEE Computer Society, Los Alamitos, CA, USA, 5th International Symposium on Image and Signal Processing and Analysis, September 2007 (inproceedings)

**Manifold Denoising**
In *Advances in Neural Information Processing Systems 19*, pages: 561-568, (Editors: Schölkopf, B. , J. Platt, T. Hofmann), MIT Press, Cambridge, MA, USA, Twentieth Annual Conference on Neural Information Processing Systems (NIPS), September 2007 (inproceedings)

**How to Find Interesting Locations in Video: A Spatiotemporal Interest Point Detector Learned from Human Eye movements**
In *Pattern Recognition*, pages: 405-414, (Editors: FA Hamprecht and C Schnörr and B Jähne), Springer, Berlin, Germany, 29th Annual Symposium of the German Association for Pattern Recognition (DAGM), September 2007 (inproceedings)

**Bayesian Inference for Sparse Generalized Linear Models**
In *ECML 2007*, pages: 298-309, Lecture Notes in Computer Science ; 4701, (Editors: Kok, J. N., J. Koronacki, R. Lopez de Mantaras, S. Matwin, D. Mladenic, A. Skowron), Springer, Berlin, Germany, 18th European Conference on Machine Learning, September 2007 (inproceedings)

**Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions**
In *Advances in Neural Information Processing Systems 19*, pages: 273-280, (Editors: B Schölkopf and J Platt and T Hofmann), MIT Press, Cambridge, MA, USA, 20th Annual Conference on Neural Information Processing Systems (NIPS), September 2007 (inproceedings)

**A Nonparametric Approach to Bottom-Up Visual Saliency**
In *Advances in Neural Information Processing Systems 19*, pages: 689-696, (Editors: B Schölkopf and J Platt and T Hofmann), MIT Press, Cambridge, MA, USA, 20th Annual Conference on Neural Information Processing Systems (NIPS), September 2007 (inproceedings)

**Information Bottleneck for Non Co-Occurrence Data**
In *Advances in Neural Information Processing Systems 19*, pages: 1241-1248, (Editors: Schölkopf, B. , J. Platt, T. Hofmann), MIT Press, Cambridge, MA, USA, Twentieth Annual Conference on Neural Information Processing Systems (NIPS), September 2007 (inproceedings)

**Learning with Hypergraphs: Clustering, Classification, and Embedding**
In *Advances in Neural Information Processing Systems 19*, pages: 1601-1608, (Editors: B Schölkopf and J Platt and T Hofmann), MIT Press, Cambridge, MA, USA, 20th Annual Conference on Neural Information Processing Systems (NIPS), September 2007 (inproceedings)

**Correcting Sample Selection Bias by Unlabeled Data**
In *Advances in Neural Information Processing Systems 19*, pages: 601-608, (Editors: B Schölkopf and J Platt and T Hofmann), MIT Press, Cambridge, MA, USA, 20th Annual Conference on Neural Information Processing Systems (NIPS), September 2007 (inproceedings)

**Collaborative Filtering via Ensembles of Matrix Factorizations**
In *KDD Cup and Workshop 2007*, pages: 43-47, KDD Cup and Workshop, August 2007 (inproceedings)

**Online-Computation Approach to Optimal Control of Noise-Affected Nonlinear Systems with Continuous State and Control Spaces**
In *ECC‘07*, pages: 3664-3671, 9th European Control Conference, July 2007 (inproceedings)

**A Kernel Approach to Comparing Distributions**
In *Proceedings of the 22. AAAI Conference on Artificial Intelligence*, pages: 1637-1641, AAAI Press, Menlo Park, CA, USA, Twenty-Second AAAI Conference on Artificial Intelligence (AAAI), July 2007 (inproceedings)

**Manifold Denoising as Preprocessing for Finding Natural Representations of Data**
In *AAAI-07*, pages: 1646-1649, AAAI Press, Menlo Park, CA, USA, Twenty-Second AAAI Conference on Artificial Intelligence (AAAI-07), July 2007 (inproceedings)

**Supervised Feature Selection via Dependence Estimation**
In *Proceedings of the 24th Annual International Conference on Machine Learning (ICML 2007)*, pages: 823-830, (Editors: Ghahramani, Z. ), ACM Press, New York, NY, USA, Twenty-Fourth Annual International Conference on Machine Learning (ICML), June 2007 (inproceedings)

**A Kernel-Based Causal Learning Algorithm**
In *Proceedings of the 24th International Conference on Machine Learning*, pages: 855-862, (Editors: Z Ghahramani), ACM Press, New York, NY, USA, ICML, June 2007 (inproceedings)

**Entire Regularization Paths for Graph Data**
In *ICML 2007*, pages: 919-926, (Editors: Ghahramani, Z. ), ACM Press, New York, NY, USA, 24th Annual International Conference on Machine Learning, June 2007 (inproceedings)

**Weighted Substructure Mining for Image Analysis**
In *CVPR 2007*, pages: 1-8, IEEE Computer Society, Los Alamitos, CA, USA, 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 2007 (inproceedings)

**Local Learning Projections**
In *Proceedings of the 24th International Conference on Machine Learning*, pages: 1039-1046, (Editors: Z Ghahramani), ACM Press, New York, NY, USA, ICML, June 2007 (inproceedings)

**Training and Approximation of a Primal Multiclass Support Vector Machine**
In *ASMDA 2007*, pages: 1-8, (Editors: Skiadas, C. H.), 12th International Conference on Applied Stochastic Models and Data Analysis, June 2007 (inproceedings)

**Information-theoretic Metric Learning**
In *ICML 2007*, pages: 209-216, (Editors: Ghahramani, Z. ), ACM Press, New York, NY, USA, 24th Annual International Conference on Machine Learning, June 2007 (inproceedings)

**A Dependence Maximization View of Clustering**
In *Proceedings of the 24th Annual International Conference on Machine Learning (ICML 2007)*, pages: 815-822, (Editors: Ghahramani, Z. ), ACM Press, New York, NY, USA, Twenty-Fourth Annual International Conference on Machine Learning (ICML), June 2007 (inproceedings)

**Multiclass Multiple Kernel Learning**
In *ICML 2007*, pages: 1191-1198, (Editors: Ghahramani, Z. ), ACM Press, New York, NY, USA, 24th International Conference on Machine Learning, June 2007 (inproceedings)

**Transductive Support Vector Machines for Structured Variables**
In *ICML 2007*, pages: 1183-1190, (Editors: Ghahramani, Z. ), ACM Press, New York, NY, USA, 24th International Conference on Machine Learning, June 2007 (inproceedings)

**Change-Point Detection using Krylov Subspace Learning**
In *SDM 2007*, pages: 515-520, (Editors: Apte, C. ), Society for Industrial and Applied Mathematics, Pittsburgh, PA, USA, SIAM International Conference on Data Mining, April 2007 (inproceedings)

**Learning causality by identifying common effects with kernel-based dependence measures**
In *ESANN 2007*, pages: 453-458, D-Side, Evere, Belgium, 15th European Symposium on Artificial Neural Networks, April 2007 (inproceedings)

**Exploring the causal order of binary variables via exponential hierarchies of Markov kernels**
In *ESANN 2007*, pages: 465-470, D-Side, Evere, Belgium, 15th European Symposium on Artificial Neural Networks, April 2007 (inproceedings)

**Fast Newton-type Methods for the Least Squares Nonnegative Matrix Approximation Problem**
In *SDM 2007*, pages: 343-354, (Editors: Apte, C. ), Society for Industrial and Applied Mathematics, Pittsburgh, PA, USA, SIAM International Conference on Data Mining, April 2007 (inproceedings)

**Distinguishing Between Cause and Effect via Kernel-Based Complexity Measures for Conditional Distributions**
In *Proceedings of the 15th European Symposium on Artificial Neural Networks
*, pages: 441-446, (Editors: M Verleysen), D-Side Publications, Evere, Belgium, ESANN, April 2007 (inproceedings)

**Deterministic Annealing for
Multiple-Instance Learning**
In *JMLR Workshop and Conference Proceedings Volume 2: AISTATS 2007*, pages: 123-130, (Editors: Meila, M. , X. Shen), MIT Press, Cambridge, MA, USA, 11th International Conference on Artificial Intelligence and Statistics, March 2007 (inproceedings)

**Bayesian Inference and Optimal Design in the Sparse Linear Model**
In *JMLR Workshop and Conference Proceedings Volume 2: AISTATS 2007*, pages: 444-451, (Editors: Meila, M. , X. Shen), JMLR, Cambridge, MA, USA, 11th International Conference on Artificial Intelligence and Statistics, March 2007 (inproceedings)

**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)

**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)