CUED Publications database

Items where Division is "Div F > Computational and Biological Learning" and Year is 2010

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Number of items: 67.

A

Adams, RP and Wallach, HM and Ghahramani, Z (2010) Learning the Structure of Deep Sparse Graphical Models. AISTATS, 9. pp. 1-8.

B

Bratières, S and Van Gael, J and Vlachos, A and Ghahramani, Z (2010) Scaling the iHMM: Parallelization versus Hadoop. Proceedings - 10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, ScalCom-2010. pp. 1235-1240.

Braun, DA and Waldert, S and Aertsen, A and Wolpert, DM and Mehring, C (2010) Structure learning in a sensorimotor association task. PLoS One, 5. e8973-.

Braun, DA and Waldert, S and Aertsen, A and Wolpert, DM and Mehring, C (2010) Structure learning in a sensorimotor association task. PloS one, 5. ISSN 1932-6203

C

Carl Edward, R and Hannes, N (2010) Gaussian processes for machine learning (GPML) toolbox. Journal of Machine Learning Research, 11. pp. 3011-3015. ISSN 1533-7928

Churchland, MM and Cunningham, JP and Kaufman, MT and Ryu, SI and Shenoy, KV (2010) Cortical Preparatory Activity: Representation of Movement or First Cog in a Dynamical Machine? NEURON, 68. pp. 387-400. ISSN 0896-6273

D

Dilan, G and Carl Edward, R (2010) Dirichlet process gaussian mixture models: choice of the base distribution. Journal of Computer Science and Technology, 25. pp. 615-626. ISSN 1000-9000

Dimitriou, M and Edin, BB (2010) Human muscle spindles act as forward sensory models. Curr Biol, 20. pp. 1763-1767.

F

Fiser, J and Berkes, P and Orban, G and Lengyel, M (2010) Statistically optimal perception and learning: from behavior to neural representations. TRENDS COGN SCI, 14. pp. 119-130. ISSN 1364-6613

Fitzgerald, THB and Seymour, B and Bach, DR and Dolan, RJ (2010) Differentiable neural substrates for learned and described value and risk. Curr Biol, 20. pp. 1823-1829.

Frémaux, N and Sprekeler, H and Gerstner, W (2010) Functional requirements for reward-modulated spike-timing-dependent plasticity. J Neurosci, 30. pp. 13326-13337.

G

Ghahramani, Z (2010) Bayesian hidden markov models and extensions: Invited talk. CoNLL 2010 - Fourteenth Conference on Computational Natural Language Learning, Proceedings of the Conference. 56-.

Ghahramani, Z (2010) (Invited Talk) Bayesian Hidden Markov Models and Extensions. In: UNSPECIFIED p. 56..

H

Hennequin, G and Gerstner, W and Pfister, J-P (2010) STDP in Adaptive Neurons Gives Close-To-Optimal Information Transmission. Front Comput Neurosci, 4. 143-.

Hernandez-Lobato, D and Hernandez-Lobato, JM and Suarez, A (2010) Expectation Propagation for microarray data classification. PATTERN RECOGN LETT, 31. pp. 1618-1626. ISSN 0167-8655

Hernández-Lobato, D and Hernández-Lobato, JM and Helleputte, T and Dupont, P (2010) Expectation propagation for bayesian multi-task feature selection. In: UNSPECIFIED pp. 522-537..

Hernández-Lobato, JM and Dijkstra, TMH (2010) Hub gene selection methods for the reconstruction of transcription networks. In: UNSPECIFIED pp. 506-521..

Howard, IS and Ingram, JN and Wolpert, DM (2010) Context-dependent partitioning of motor learning in bimanual movements. J Neurophysiol, 104. pp. 2082-2091.

Huszar, F and Noppeney, U and Lengyel, M (2010) Mind Reading by Machine Learning: A Doubly Bayesian Method for Inferring Mental Representations. In: UNSPECIFIED pp. 2810-2815..

I

Ingram, JN and Howard, IS and Flanagan, JR and Wolpert, DM (2010) Multiple grasp-specific representations of tool dynamics mediate skillful manipulation. Curr Biol, 20. pp. 618-623.

K

Kurniawan, IT and Seymour, B and Talmi, D and Yoshida, W and Chater, N and Dolan, RJ (2010) Choosing to make an effort: the role of striatum in signaling physical effort of a chosen action. J Neurophysiol, 104. pp. 313-321.

Kurniawan, IT and Seymour, B and Vlaev, I and Trommershäuser, J and Dolan, RJ and Chater, N (2010) Pain relativity in motor control. Psychol Sci, 21. pp. 840-847.

L

Lamperski, A (2010) A neuro-inspired method for data rate limited feedback control. In: UNSPECIFIED pp. 6463-6468..

Lazaro-Gredilla, M and Quinonero-Candela, J and Rasmussen, CE and Figueiras-Vidal, AR (2010) Sparse Spectrum Gaussian Process Regression. J MACH LEARN RES, 11. pp. 1865-1881. ISSN 1532-4435

Leskovec, J and Chakrabarti, D and Kleinberg, J and Faloutsos, C and Ghahramani, Z (2010) Kronecker Graphs: An Approach to Modeling Networks. J MACH LEARN RES, 11. pp. 985-1042. ISSN 1532-4435

Lippert, C and Ghahramani, Z and Borgwardt, KM (2010) Gene function prediction from synthetic lethality networks via ranking on demand. Bioinformatics, 26. pp. 912-918.

M

Malcolm, WP and Quadrianto, N and Aggoun, L (2010) State estimation schemes for independent component coupled hidden Markov models. Stochastic Analysis and Applications, 28. pp. 430-446. ISSN 0736-2994

Mancini, F and Bricolo, E and Vallar, G (2010) Erratum to Multisensory integration in the Müller-Lyer illusion: From vision to haptics (The Quarterly Journal of Experimental Psychology, (818-830)). Quarterly Journal of Experimental Psychology, 63. p. 831. ISSN 1747-0218

Mancini, F and Bricolo, E and Vallar, G (2010) Multisensory integration in the Müller-Lyer illusion: From vision to haptics. Quarterly Journal of Experimental Psychology, 63. pp. 818-830. ISSN 1747-0218

N

Nagengast, AJ and Braun, DA and Wolpert, DM (2010) Risk-sensitive optimal feedback control accounts for sensorimotor behavior under uncertainty. PLoS Computational Biology, 6. 15-. ISSN 1553-734X

Nagengast, AJ and Braun, DA and Wolpert, DM (2010) Risk-sensitive optimal feedback control accounts for sensorimotor behavior under uncertainty. PLoS Comput Biol, 6. e1000857-.

Nickisch, H and Rasmussen, CE (2010) Gaussian mixture modeling with Gaussian process latent variable models. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6376 L. pp. 272-282. ISSN 0302-9743

P

Peharz, R and Stark, M and Pernkopf, F (2010) Sparse nonnegative matrix factorization using ℓ<sup>0</sup>-constraints. In: UNSPECIFIED pp. 83-88..

Peharz, R and Stark, M and Pernkopf, F and Stylianou, Y (2010) A factorial sparse coder model for single channel source separation. In: UNSPECIFIED pp. 386-389..

Pfister, J-P and Dayan, P and Lengyel, M (2010) Synapses with short-term plasticity are optimal estimators of presynaptic membrane potentials. Nat Neurosci, 13. pp. 1271-1275.

Pine, A and Shiner, T and Seymour, B and Dolan, RJ (2010) Dopamine, Time, and Impulsivity in Humans. JOURNAL OF NEUROSCIENCE, 30. pp. 8888-8896. ISSN 0270-6474

Q

Quadrianto, N and Kersting, K and Tuytelaars, T and Buntine, WL (2010) Beyond 2D-grids: A dependence maximization view on image browsing. MIR 2010 - Proceedings of the 2010 ACM SIGMM International Conference on Multimedia Information Retrieval. pp. 339-348.

Quadrianto, N and Schuurmans, D and Smola, AJ (2010) Distributed flow algorithms for scalable similarity visualization. Proceedings - IEEE International Conference on Data Mining, ICDM. pp. 1220-1227. ISSN 1550-4786

Quadrianto, N and Smola, A and Caetano, T and Vishwanathan, SVN and Petterson, J (2010) Multitask learning without label correspondences. Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010.

Quadrianto, N and Smola, AJ and Song, L and Tuytelaars, T (2010) Kernelized Sorting. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32. pp. 1809-1821.

R

Remme, MWH and Lengyel, M and Gutkin, BS (2010) Democracy-Independence Trade-Off in Oscillating Dendrites and Its Implications for Grid Cells. NEURON, 66. pp. 429-437. ISSN 0896-6273

Rotsos, C and Van Gael, J and Moore, AW and Ghahramani, Z (2010) Probabilistic graphical models for semi-supervised traffic classification. In: UNSPECIFIED pp. 752-757..

S

Saatçi, Y and Turner, R and Rasmussen, CE (2010) Gaussian process change point models. ICML 2010 - Proceedings, 27th International Conference on Machine Learning. pp. 927-934.

Savage, RS and Ghahramani, Z and Griffin, JE and de la Cruz, BJ and Wild, DL (2010) Discovering transcriptional modules by Bayesian data integration. Bioinformatics, 26. i158-i167.

Silva, R and Heller, K and Ghahramani, Z and Airoldi, EM (2010) RANKING RELATIONS USING ANALOGIES IN BIOLOGICAL AND INFORMATION NETWORKS. ANN APPL STAT, 4. pp. 615-644. ISSN 1932-6157

Stegle, O and Denby, KJ and Cooke, EJ and Wild, DL and Ghahramani, Z and Borgwardt, KM (2010) A robust Bayesian two-sample test for detecting intervals of differential gene expression in microarray time series. J Comput Biol, 17. pp. 355-367.

T

Tee, KP and Franklin, DW and Kawato, M and Milner, TE and Burdet, E (2010) Concurrent adaptation of force and impedance in the redundant muscle system. BIOL CYBERN, 102. pp. 31-44. ISSN 0340-1200

Teufel, C and Kingdon, A and Ingram, JN and Wolpert, DM and Fletcher, PC (2010) Deficits in sensory prediction are related to delusional ideation in healthy individuals. Neuropsychologia, 48. pp. 4169-4172.

Tootoonian, S and Laurent, G (2010) Electric times in olfaction. Neuron, 67. pp. 903-905.

Turner, R and Deisenroth, MP and Rasmussen, CE (2010) State-space inference and learning with Gaussian processes. Journal of Machine Learning Research, 9. pp. 868-875. ISSN 1532-4435

Turner, R and Ghahramani, Z and Bottone, S (2010) Fast online anomaly detection using scan statistics. Proceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2010. pp. 385-390.

Turner, R and Rasmussen, CE (2010) Model based learning of sigma points in unscented Kalman filtering. Proceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2010. pp. 178-183.

Turner, RE and Sahani, M (2010) Statistical inference for single- and multi-band probabilistic amplitude demodulation. In: UNSPECIFIED pp. 5466-5469..

W

Williamson, S and Orbanz, P and Ghahramani, Z (2010) Dependent Indian Buffet Processes. AISTATS, 9. pp. 924-931.

Wilson, AG and Ghahramani, Z (2010) Generalised Wishart Processes. Uncertainty in Artificial Intelligence (2011).

Wolpert, DM and Flanagan, JR (2010) Motor learning. Curr Biol, 20. R467-R472.

Wolpert, DM and Flanagan, JR (2010) Q&A: Robotics as a tool to understand the brain. BMC BIOL, 8. -. ISSN 1741-7007

Wolpert, DM and Flanagan, JR (2010) Q&A: Robotics as a tool to understand the brain. BMC Biol, 8. 92-.

Y

Yoshida, W and Seymour, B and Friston, KJ and Dolan, RJ (2010) Neural mechanisms of belief inference during cooperative games. J Neurosci, 30. pp. 10744-10751.

Yu, R and Mobbs, D and Seymour, B and Calder, AJ (2010) Insula and striatum mediate the default bias. J Neurosci, 30. pp. 14702-14707.

Z

Zabih, R and Matas, J and Ghahramani, Z (2010) Editor's Note. IEEE Trans. Pattern Anal. Mach. Intell., 32. p. 769.

Zabih, R and Matas, J and Ghahramani, Z (2010) Editor's Note. IEEE Trans. Pattern Anal. Mach. Intell., 32. pp. 1345-1346.

Zabih, R and Matas, J and Ghahramani, Z (2010) Editor's Note. IEEE Trans. Pattern Anal. Mach. Intell., 32. p. 1729.

Zabih, R and Matas, J and Ghahramani, Z (2010) IEEE Transactions on Pattern Analysis and Machine Intelligence: Editor's Note. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32. pp. 1345-1346. ISSN 0162-8828

Zabih, R and Matas, J and Ghahramani, Z (2010) IEEE Transactions on Pattern Analysis and Machine Intelligence: Editor's Note. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32. 769-. ISSN 0162-8828

Zabih, R and Matas, J and Ghahramani, Z (2010) IEEE Transactions on Pattern Analysis and Machine Intelligence: Editor's note. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32. 1729-. ISSN 0162-8828

Zacharias, F and Howard, IS and Hulin, T and Hirzinger, G (2010) Workspace comparisons of setup configurations for human-robot interaction. IEEE/RSJ 2010 International Conference on Intelligent Robots and Systems, IROS 2010 - Conference Proceedings. pp. 3117-3122.

This list was generated on Tue Oct 27 20:15:22 2020 GMT.