423 results
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**Towards building a Crowd-Sourced Sky Map**
In *Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics*, JMLR W\&CP 33, pages: 549–557, (Editors: S. Kaski and J. Corander), JMLR.org, AISTATS, 2014 (inproceedings)

**Causal Inference from Passive Observations**
24th Summer School University of Jyväskylā, Finland, August, 2014 (talk)

**Incremental Local Gaussian Regression**
In *Advances in Neural Information Processing Systems 27*, pages: 972-980, (Editors: Z. Ghahramani, M. Welling, C. Cortes, N.D. Lawrence and K.Q. Weinberger), 28th Annual Conference on Neural Information Processing Systems (NIPS), 2014, clmc (inproceedings)

**Domain adaptation-can quantity compensate for quality?**
*Annals of Mathematics and Artificial Intelligence*, 70(3):185-202, 2014 (article)

**oxel level [18]F-FDG PET/MRI unsupervised segmentation of the tumor microenvironment**
World Molecular Imaging Conference, 2014 (poster)

**Sérsic galaxy models in weak lensing shape measurement: model bias, noise bias and their interaction**
*Monthly Notices of the Royal Astronomical Society*, 441(3):2528-2538, Oxford University Press, 2014 (article)

**Learning to Deblur**
In *NIPS 2014 Deep Learning and Representation Learning Workshop*, 28th Annual Conference on Neural Information Processing Systems (NIPS), 2014 (inproceedings)

**Analysis of Distance Functions in Graphs**
University of Hamburg, Germany, University of Hamburg, Germany, 2014 (phdthesis)

**Efficient Bayesian Local Model Learning for Control**
In *Proceedings of the IEEE International Conference on Intelligent Robots and Systems*, pages: 2244 - 2249, IROS, 2014, clmc (inproceedings)

**The sample complexity of agnostic learning under deterministic labels**
In *Proceedings of the 27th Conference on Learning Theory*, 35, pages: 527-542, (Editors: Balcan, M.-F. and Feldman, V. and Szepesvári, C.), JMLR, COLT, 2014 (inproceedings)

**Towards an optimal stochastic alternating direction method of multipliers**
*Proceedings of the 31st International Conference on Machine Learning*, 32, pages: 620-628, (Editors: Xing, E. P. and Jebara, T.), JMLR, ICML, 2014 (conference)

**Diminished White Matter Integrity in Patients with Systemic Lupus Erythematosus**
*NeuroImage: Clinical*, 5, pages: 291-297, 2014 (article)

**Open Problem: Finding Good Cascade Sampling Processes for the Network Inference Problem**
*Proceedings of the 27th Conference on Learning Theory*, 35, pages: 1276-1279, (Editors: Balcan, M.-F. and Szepesvári, C.), JMLR.org, COLT, 2014 (conference)

**Information-Theoretic Bounded Rationality and ϵ-Optimality**
*Entropy*, 16(8):4662-4676, August 2014 (article)

**Occam’s Razor in sensorimotor learning**
*Proceedings of the Royal Society of London B*, 281(1783):1-7, May 2014 (article)

**Generalized Thompson sampling for sequential decision-making and causal inference**
*Complex Adaptive Systems Modeling*, 2(2):1-23, March 2014 (article)

**Assessing randomness and complexity in human motion trajectories through analysis of symbolic sequences**
*Frontiers in Human Neuroscience*, 8(168):1-13, March 2014 (article)

**Curiosity-driven learning with Context Tree Weighting**
pages: 366-367, IEEE, Piscataway, NJ, USA, 4th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (IEEE ICDL-EPIROB), October 2014 (conference)

**Monte Carlo methods for exact & efficient solution of the generalized optimality equations**
pages: 4322-4327, IEEE, Piscataway, NJ, USA, IEEE International Conference on Robotics and Automation (ICRA), June 2014 (conference)

**HPLC analysis and pharmacokinetic study of quercitrin and isoquercitrin in rat plasma after administration of Hypericum japonicum thunb. extract.**
*Biomedical Chromatography*, 22(4):374-378, December 2007 (article)

**Reaction graph kernels for discovering missing enzymes in the plant secondary metabolism**
NIPS Workshop on Machine Learning in Computational Biology, December 2007 (talk)

**Positional Oligomer Importance Matrices**
NIPS Workshop on Machine Learning in Computational Biology, December 2007 (talk)

**Machine Learning Algorithms for Polymorphism Detection**
NIPS Workshop on Machine Learning in Computational Biology, December 2007 (talk)

**Graph sharpening plus graph integration: a synergy that improves protein functional classification**
*Bioinformatics*, 23(23):3217-3224, December 2007 (article)

**A Tutorial on Spectral Clustering**
*Statistics and Computing*, 17(4):395-416, December 2007 (article)

**An Automated Combination of Kernels for Predicting Protein Subcellular Localization**
NIPS Workshop on Machine Learning in Computational Biology, December 2007 (talk)

**A Tutorial on Kernel Methods for Categorization**
*Journal of Mathematical Psychology*, 51(6):343-358, December 2007 (article)

**A semigroup approach to queueing systems**
*Semigroup Forum*, 75(3):610-624, December 2007 (article)

**Point-spread functions for backscattered imaging in the scanning electron microscope **
*Journal of Applied Physics *, 102(12):1-8, December 2007 (article)

**Accurate Splice site Prediction Using Support Vector Machines**
*BMC Bioinformatics*, 8(Supplement 10):1-16, December 2007 (article)

**Challenges in Brain-Computer Interface Development: Induction, Measurement, Decoding, Integration**
Invited keynote talk at the launch of BrainGain, the Dutch BCI research consortium, November 2007 (talk)

**Towards compliant humanoids: an experimental assessment of suitable task space position/orientation controllers**
In *IROS 2007*, 2007, pages: 2520-2527, (Editors: Grant, E. , T. C. Henderson), IEEE Service Center, Piscataway, NJ, USA, IEEE/RSJ International Conference on Intelligent Robots and Systems, November 2007 (inproceedings)

**MR-Based PET Attenuation Correction: Method and Validation**
*2007 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC 2007)*, 2007(M16-6):1-2, November 2007 (poster)

**Estimating receptive fields without spike-triggering**
*37th annual Meeting of the Society for Neuroscience (Neuroscience 2007)*, 37(768.1):1, November 2007 (poster)

**Sistema avanzato per la classificazione delle aree agricole in immagini ad elevata risoluzione geometrica: applicazione al territorio del Trentino **
In pages: 1-6, 11. Conferenza Nazionale ASITA, November 2007 (inproceedings)

**Experimental design for efficient identification of gene regulatory networks using sparse Bayesian models**
*BMC Systems Biology*, 1(51):1-15, November 2007 (article)

**Evaluation of Deformable Registration Methods for MR-CT Atlas Alignment**
*2007 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC 2007)*, 2007(M13-121):1, November 2007 (poster)

**Some Theoretical Aspects of Human Categorization Behavior: Similarity and Generalization**
Biologische Kybernetik, Eberhard-Karls-Universität Tübingen, Tübingen, Germany, November 2007, passed with "ausgezeichnet", summa cum laude, published online (phdthesis)

**Statistical Learning Theory Approaches to Clustering**
Biologische Kybernetik, Eberhard-Karls-Universität Tübingen, Tübingen, Germany, November 2007 (diplomathesis)

**Performance Stabilization and Improvement in Graph-based Semi-supervised Learning with
Ensemble Method and Graph Sharpening**
In *Korean Data Mining Society Conference*, pages: 257-262, Korean Data Mining Society, Seoul, Korea, Korean Data Mining Society Conference, November 2007 (inproceedings)

**A time/frequency decomposition of information transmission by LFPs and spikes in the primary visual cortex**
*37th Annual Meeting of the Society for Neuroscience (Neuroscience 2007)*, 37, pages: 1, November 2007 (poster)

**Mining expression-dependent modules in the human interaction network**
*BMC Bioinformatics*, 8(Suppl. 8):S4, November 2007 (poster)

**Policy Learning for Robotics**
14th International Conference on Neural Information Processing (ICONIP), November 2007 (talk)

**A unifying framework for robot control with redundant DOFs**
*Autonomous Robots*, 24(1):1-12, October 2007 (article)

**The Need for Open Source Software in Machine Learning**
*Journal of Machine Learning Research*, 8, pages: 2443-2466, October 2007 (article)

**Hilbert Space Representations of Probability Distributions**
2nd Workshop on Machine Learning and Optimization at the ISM, October 2007 (talk)

**Discriminative Subsequence Mining for Action Classification**
In *ICCV 2007*, pages: 1919-1923, IEEE Computer Society, Los Alamitos, CA, USA, 11th IEEE International Conference on Computer Vision, October 2007 (inproceedings)

**Regression with Intervals**
International Workshop on Data-Mining and Statistical Science (DMSS2007), October 2007, JSAI Incentive Award. Talk was given by Hisashi Kashima. (talk)

**On the Representer Theorem and Equivalent Degrees of Freedom of SVR **
*Journal of Machine Learning Research*, 8, pages: 2467-2495, October 2007 (article)

**A Hilbert Space Embedding for Distributions**
*Proceedings of the 10th International Conference on Discovery Science (DS 2007)*, 10, pages: 40-41, October 2007 (poster)