CUED Publications database

Items where Division is "Div F > Computational and Biological Learning" and Year is 2013

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Number of items: 60.

A

Ahmadian, Y and Rubin, DB and Miller, KD (2013) Analysis of the stabilized supralinear network. Neural Comput, 25. pp. 1994-2037.

B

Bousmalis, K and Zafeiriou, S and Morency, L-P and Pantic, M and Ghahramani, Z (2013) Variational Hidden Conditional Random Fields with Coupled Dirichlet Process Mixtures. In: UNSPECIFIED pp. 531-547..

C

Calliess, JP and Roberts, SJ (2013) Multi-agent planning with mixed-integer programming and adaptive interaction constraint generation (extended abstract). In: UNSPECIFIED pp. 207-208..

Christensen, HL and Turner, RE and Hill, SI and Godsill, SJ (2013) Rebuilding the limit order book: Sequential Bayesian inference on hidden states. Quantitative Finance, 13. pp. 1779-1799. ISSN 1469-7688

Cuong, NV and Ho, LST and Dinh, V (2013) Generalization and robustness of batched weighted average algorithm with V-geometrically ergodic Markov data. In: UNSPECIFIED pp. 264-278..

D

Darkins, R and Cooke, EJ and Ghahramani, Z and Kirk, PDW and Wild, DL and Savage, RS (2013) Accelerating Bayesian hierarchical clustering of time series data with a randomised algorithm. PLoS One, 8. e59795-.

Dimitriou, M and Wolpert, DM and Franklin, DW (2013) The temporal evolution of feedback gains rapidly update to task demands. J Neurosci, 33. pp. 10898-10909.

Dreher, J-C and Seymour, B and Tobler, PN (2013) Punishment-based decision making. Front Neurosci, 7. 236-. ISSN 1662-4548

Duvenaud, DK and Lloyd, JR and Grosse, RB and Tenenbaum, JB and Ghahramani, Z (2013) Structure Discovery in Nonparametric Regression through Compositional Kernel Search. In: UNSPECIFIED pp. 1166-1174..

E

Eaton, F and Ghahramani, Z (2013) Model reductions for inference: generality of pairwise, binary, and planar factor graphs. Neural Comput, 25. pp. 1213-1260.

F

Fiser, J and Popovic, M and Haefner, RM and Lengyel, M (2013) Time and making perceptual decisions. PERCEPTION, 42. p. 237. ISSN 0301-0066

Franklin, DW and Selen, LPJ and Franklin, S and Wolpert, DM (2013) Selection and control of limb posture for stability. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2013. pp. 5626-5629. ISSN 1557-170X

Franklin, DW and Selen, LPJ and Franklin, S and Wolpert, DM (2013) Selection and control of limb posture for stability. Annu Int Conf IEEE Eng Med Biol Soc, 2013. pp. 5626-5629. ISSN 1557-170X

Frigola, R and Lindsten, F and Schön, TB and Rasmussen, CE (2013) Bayesian inference and learning in Gaussian process state-space models with Particle MCMC. Advances in Neural Information Processing Systems. ISSN 1049-5258

Frigola, R and Rasmussen, CE (2013) Integrated pre-processing for bayesian nonlinear system identification with gaussian processes. Proceedings of the IEEE Conference on Decision and Control. pp. 5371-5376. ISSN 0191-2216

Frémaux, N and Sprekeler, H and Gerstner, W (2013) Reinforcement learning using a continuous time actor-critic framework with spiking neurons. PLoS Comput Biol, 9. e1003024-.

G

Ghahramani, Z (2013) Bayesian non-parametrics and the probabilistic approach to modelling. Philos Trans A Math Phys Eng Sci, 371. 20110553-. ISSN 1364-503X

H

Heaukulani, C and Ghahramani, Z (2013) Dynamic probabilistic models for latent feature propagation in social networks. 30th International Conference on Machine Learning, ICML 2013. pp. 275-283.

Hernandez-Lobato, D and Miguel Hernandez-Lobato, J and Dupont, P (2013) Generalized Spike-and-Slab Priors for Bayesian Group Feature Selection Using Expectation Propagation. JOURNAL OF MACHINE LEARNING RESEARCH, 14. pp. 1891-1945. ISSN 1532-4435

Hernández-Lobato, D and Hernández-Lobato, JM (2013) Learning feature selection dependencies in multi-task learning. In: UNSPECIFIED.

Hernández-Lobato, JM and Lloyd, JR and Hernández-Lobato, D (2013) Gaussian process conditional copulas with applications to financial time series. In: UNSPECIFIED.

Houlsby, NMT and Huszár, F and Ghassemi, MM and Orbán, G and Wolpert, DM and Lengyel, M (2013) Cognitive Tomography Reveals Complex, Task-Independent Mental Representations. Current Biology. ISSN 0960-9822

Howard, IS and Wolpert, DM and Franklin, DW (2013) The effect of contextual cues on the encoding of motor memories. J Neurophysiol, 109. pp. 2632-2644.

I

Ingram, JN and Flanagan, JR and Wolpert, DM (2013) Context-dependent decay of motor memories during skill acquisition. Curr Biol, 23. pp. 1107-1112.

Iwata, T and Houlsby, N and Ghahramani, Z (2013) Active learning for interactive visualization. In: UNSPECIFIED pp. 342-350..

Iwata, T and Shah, A and Ghahramani, Z (2013) Discovering latent influence in online social activities via shared cascade poisson processes. In: UNSPECIFIED pp. 266-274..

L

Lacoste-Julien, S and Palla, K and Davies, A and Kasneci, G and Graepel, T and Ghahramani, Z (2013) SIGMa: simple greedy matching for aligning large knowledge bases. In: UNSPECIFIED pp. 572-580..

Lamperski, A and Ames, AD (2013) Lyapunov theory for zeno stability. IEEE Transactions on Automatic Control, 58. pp. 100-112. ISSN 0018-9286

Lamperski, A and Doyle, JC (2013) Output feedback H<inf>2</inf> model matching for decentralized systems with delays. In: UNSPECIFIED pp. 5778-5783..

Lawson, RP and Nord, CL and Seymour, B and Dolan, RJ and Dayan, P and Weiskopf, N and Roiser, JP (2013) Habenula Responses in Major Depression: A High-Resolution FMRI Study. In: UNSPECIFIED 236S-236S..

Lopez-Paz, D and Hernández-Lobato, JM and Ghahramani, Z (2013) Gaussian Process Vine Copulas for Multivariate Dependence. In: UNSPECIFIED pp. 10-18..

M

Mancini, F (2013) Focus on pain in the blind. Pain, 154. pp. 1906-1907. ISSN 0304-3959

Mancini, F (2013) Subcortical and neocortical mechanisms of visual-somatosensory interplay. Journal of Neuroscience, 33. pp. 12555-12556. ISSN 0270-6474

Mancini, F and Longo, MR and Canzoneri, E and Vallar, G and Haggard, P (2013) Changes in cortical oscillations linked to multisensory modulation of nociception. European Journal of Neuroscience, 37. pp. 768-776. ISSN 0953-816X

Mancini, F and Sambo, CF and Ramirez, JD and Bennett, DLH and Haggard, P and Iannetti, GD (2013) A fovea for pain at the fingertips. Current Biology, 23. pp. 496-500. ISSN 0960-9822

Mazyar, H and van den Berg, R and Seilheimer, RL and Ma, WJ (2013) Independence is elusive: set size effects on encoding precision in visual search. J Vis, 13.

McNamee, D and Rangel, A and O'Doherty, JP (2013) Category-dependent and category-independent goal-value codes in human ventromedial prefrontal cortex. Nature Neuroscience, 16. pp. 479-485. ISSN 1097-6256

N

Nguyen, VC and Lee, WS and Ye, N and Chai, KMA and Chieu, HL (2013) Active learning for probabilistic hypotheses using the maximum Gibbs error criterion. In: UNSPECIFIED.

Norbury, A and Manohar, S and Rogers, RD and Husain, M (2013) Dopamine modulates risk-taking as a function of baseline sensation-seeking trait. Journal of Neuroscience, 33. pp. 12982-12986. ISSN 0270-6474

P

Pedersen, KS and Stensbo-Smidt, K and Zirm, A and Igel, C (2013) Shape Index Descriptors Applied to Texture-Based Galaxy Analysis. In: 2013 IEEE International Conference on Computer Vision (ICCV), 2013-12-1 to 2013-12-8.

Peharz, R and Geiger, BC and Pernkopf, F (2013) Greedy part-wise learning of sum-product networks. In: UNSPECIFIED pp. 612-627..

Peharz, R and Tschiatschek, S and Pernkopf, F (2013) The most generative maximum margin Bayesian networks. In: UNSPECIFIED pp. 1272-1280..

Prévost, C and McNamee, D and Jessup, RK and Bossaerts, P and O'Doherty, JP (2013) Evidence for Model-based Computations in the Human Amygdala during Pavlovian Conditioning. PLoS Computational Biology, 9. e1002918-. ISSN 1553-734X

Q

Quadrianto, N and Sharmanska, V and Knowles, DA and Ghahramani, Z (2013) The Supervised IBP: Neighbourhood Preserving Infinite Latent Feature Models. In: UNSPECIFIED.

R

Reed, C and Ghahramani, Z (2013) Scaling the Indian Buffet Process via Submodular Maximization. In: UNSPECIFIED pp. 1013-1021..

Rüter, J and Sprekeler, H and Gerstner, W and Herzog, MH (2013) The Silent Period of Evidence Integration in Fast Decision Making. PLoS ONE, 8.

S

Savin, C and Dayan, P and Lengyel, M (2013) Correlations strike back (again): The case of associative memory retrieval. Advances in Neural Information Processing Systems. ISSN 1049-5258

Shababo, B and Paige, B and Pakman, A and Paninski, L (2013) Bayesian inference and online experimental design for mapping neural microcircuits. In: UNSPECIFIED pp. 1304-1312..

Shah, A and Ghahramani, Z (2013) Determinantal Clustering Processes - A Nonparametric Bayesian Approach to Kernel Based Semi-Supervised Clustering. In: UNSPECIFIED.

Shen, K and Tootoonian, S and Laurent, G (2013) Encoding of mixtures in a simple olfactory system. Neuron, 80. pp. 1246-1262. ISSN 0896-6273

Shen, K and Tootoonian, S and Laurent, G (2013) Encoding of mixtures in a simple olfactory system. Neuron, 80. pp. 1246-1262.

Stensbo-Smidt, K and Igel, C and Zirm, A and Pedersen, KS (2013) Nearest neighbour regression outperforms model-based prediction of specific star formation rate. In: IEEE International Conference on Big Data, -- to -- pp. 141-144..

Story, GW and Vlaev, I and Seymour, B and Winston, JS and Darzi, A and Dolan, RJ (2013) Dread and the disvalue of future pain. PLoS Comput Biol, 9. e1003335-.

T

Tommasi, T and Quadrianto, N and Caputo, B and Lampert, CH (2013) Beyond dataset bias: Multi-task unaligned shared knowledge transfer. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7724 L. pp. 1-15. ISSN 0302-9743

W

Wolpe, N and Wolpert, DM and Rowe, JB (2013) SEEING WHAT YOU WANT TO SEE: A BAYESIAN ACCOUNT. In: UNSPECIFIED pp. 86-87..

Wu, Y and Hernández-Lobato, JM and Ghahramani, Z (2013) Dynamic Covariance Models for Multivariate Financial Time Series. In: UNSPECIFIED pp. 558-566..

Y

Yoshida, W and Seymour, B and Koltzenburg, M and Dolan, RJ (2013) Uncertainty increases pain: evidence for a novel mechanism of pain modulation involving the periaqueductal gray. J Neurosci, 33. pp. 5638-5646.

Z

Zenke, F and Hennequin, G and Gerstner, W (2013) Synaptic plasticity in neural networks needs homeostasis with a fast rate detector. PLoS Comput Biol, 9. e1003330-.

Zhang, S and Green, A and Smith, PP (2013) An automatic classifier of pain scores in chronic pain patients from local field potentials recordings. In: UNSPECIFIED pp. 1194-1197..

This list was generated on Tue Oct 27 20:14:47 2020 GMT.