CUED Publications database

Items where Division is "Div F > Computational and Biological Learning" and Year is 2015

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Number of items: 79.

A

Afzal, AM and Mussa, HY and Turner, RE and Bender, A and Glen, RC (2015) A multi-label approach to target prediction taking ligand promiscuity into account. Journal of Cheminformatics, 7. 24-. ISSN 1758-2946

B

Bentum, MJ and Lager, IE and Bosma, S and Bruinsma, WP and Hes, RP (2015) Beamforming in sparse, random, 3D array antennas with fluctuating element locations. In: UNSPECIFIED.

Bousmalis, K and Zafeiriou, S and Morency, LP and Pantic, M and Ghahramani, Z (2015) Variational infinite hidden conditional random fields. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37. pp. 1917-1929. ISSN 0162-8828

Bratières, S and Quadrianto, N and Ghahramani, Z (2015) GPstruct: Bayesian Structured Prediction Using Gaussian Processes. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37. pp. 1514-1520. ISSN 0162-8828

C

Carroll, TJ and de Rugy, A and Howard, IS and Ingram, JN and Wolpert, DM (2015) Enhanced crosslimb transfer of force-field learning for dynamics that are identical in extrinsic and joint-based coordinates for both limbs. Journal of Neurophysiology, 115. pp. 445-456. ISSN 0022-3077

Chassang, S and Snowberg, E and Seymour, B and Bowles, C (2015) Accounting for behavior in treatment effects: New applications for blind trials. PLoS ONE, 10. e0127227-.

Csibra, G and Hernik, M and Mascaro, O and Tatone, D and Lengyel, M (2015) Statistical treatment of looking-time data. Developmental Psychology, 52. pp. 521-536. ISSN 0012-1649

Cunningham, JP and Ghahramani, Z (2015) Linear Dimensionality Reduction: Survey, Insights, and Generalizations. JOURNAL OF MACHINE LEARNING RESEARCH, 16. pp. 2859-2900. ISSN 1532-4435

Cunningham, JP and Ghahramani, Z (2015) Linear dimensionality reduction: Survey, insights, and generalizations. Journal of Machine Learning Research, 16. pp. 2859-2900. ISSN 1532-4435

Cuong, NV and Chandrasekaran, MK and Kan, MY and Lee, WS (2015) Scholarly Document Information Extraction using Extensible Features for Efficient Higher Order Semi-CRFs. In: UNSPECIFIED pp. 61-64..

D

Deisenroth, MP and Fox, D and Rasmussen, CE (2015) Gaussian processes for data-efficient learning in robotics and control. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37. pp. 408-423. ISSN 0162-8828

Diamond, JS and Nashed, JY and Johansson, RS and Wolpert, DM and Randall Flanagan, J (2015) Rapid visuomotor corrective responses during transport of hand-held objects incorporate novel object dynamics. Journal of Neuroscience, 35. pp. 10572-10580. ISSN 0270-6474

Dinh, V and Ho, LST and Cuong, NV and Nguyen, D and Nguyen, BT (2015) Learning from non-iid data: Fast rates for the one-vs-all multiclass plug-in classifiers. In: UNSPECIFIED pp. 375-387..

Dziugaite, GK and Roy, DM and Ghahramani, Z (2015) Training generative neural networks via Maximum Mean Discrepancy optimization.

Dziugaite, GK and Roy, DM and Ghahramani, Z (2015) Training generative neural networks via maximum mean discrepancy optimization. In: UNSPECIFIED pp. 258-267..

E

Echeveste, R and Eckmann, S and Gros, C (2015) The Fisher information as a neural guiding principle for independent component analysis. Entropy, 17. pp. 3838-3856. ISSN 1099-4300

Echeveste, R and Gros, C (2015) Corrigendum: Generating functionals for computational intelligence: The Fisher information as an objective function for self-limiting Hebbian learning rules [Front. Robot. AI 1, 1 (2014)] doi: 10.3389/frobt.2014.00001. Frontiers Robotics AI, 2.

Echeveste, R and Gros, C (2015) Two-trace model for spike-timing-dependent synaptic plasticity. Neural Computation, 27. pp. 672-698. ISSN 0899-7667

Echeveste, R and Gros, C (2015) An objective function for self-limiting neural plasticity rules. In: UNSPECIFIED pp. 549-554..

Echeveste, R and Gros, C (2015) A simple effective model for STDP: from spike pairs and triplets to rate-encoding plasticity. BMC neuroscience, 16. P87-P87. ISSN 1471-2202

F

Franklin, DW (2015) Impedance control: Learning stability in human sensorimotor control. In: UNSPECIFIED pp. 1421-1424..

Franklin, DW and Reichenbach, A and Franklin, S and Diedrichsen, J (2015) Temporal Evolution of Spatial Computations for Visuomotor Control. The Journal of Neuroscience, 36. pp. 2329-2341. ISSN 0270-6474

G

Gal, Y and Chen, Y and Ghahramani, Z (2015) Latent Gaussian processes for distribution estimation of multivariate categorical data. 32nd International Conference on Machine Learning, ICML 2015, 1. pp. 645-654.

Gallivan, JP and Barton, KS and Chapman, CS and Wolpert, DM and Randall Flanagan, J (2015) Action plan co-optimization reveals the parallel encoding of competing reach movements. Nature Communications, 6. 7428-.

Ge, H and Chen, Y and Wan, M and Ghahramani, Z (2015) Distributed Inference for Dirichlet Process Mixture Models. In: UNSPECIFIED pp. 2276-2284..

Ge, H and Chen, Y and Wan, M and Ghahramani, Z (2015) Distributed inference for Dirichlet process mixture models. In: UNSPECIFIED pp. 2266-2274..

Ghahramani, Z (2015) Probabilistic machine learning and artificial intelligence. Nature, 521. pp. 452-459. ISSN 0028-0836

Gros, C and Eckmann, S and Echeveste, R (2015) Should Hebbian learning be selective for negative excess kurtosis? BMC neuroscience, 16. P65-P65. ISSN 1471-2202

Gu, S and Ghahramani, Z and Turner, RE (2015) Neural adaptive sequential Monte Carlo. Advances in Neural Information Processing Systems, 2015-J. pp. 2629-2637. ISSN 1049-5258

H

Hensman, J and De Matthews, AG and Filippone, M and Ghahramani, Z (2015) MCMC for variationally sparse Gaussian processes. Advances in Neural Information Processing Systems, 2015-J. pp. 1648-1656. ISSN 1049-5258

Hensman, J and Matthews, AG and Ghahramani, Z (2015) Scalable variational Gaussian process classification. Journal of Machine Learning Research, 38. pp. 351-360. ISSN 1532-4435

Hernández-Lobato, D and Hernández-Lobato, JM and Ghahramani, Z (2015) A probabilistic model for dirty multi-task feature selection. In: UNSPECIFIED pp. 1073-1082..

Hernández-Lobato, JM and Adams, RP (2015) Probabilistic backpropagation for scalable learning of Bayesian neural networks. In: UNSPECIFIED pp. 1861-1869..

Hernández-Lobato, JM and Gelbart, MA and Hoffman, MW and Adams, RP and Ghahramani, Z (2015) Predictive Entropy Search for Bayesian optimization with unknown constraints. 32nd International Conference on Machine Learning, ICML 2015, 2. pp. 1699-1707.

Hernández-Lobato, JM and Hernández-Lobato, D and Suárez, A (2015) Expectation propagation in linear regression models with spike-and-slab priors. Machine Learning, 99. pp. 437-487. ISSN 0885-6125

Hosomi, K and Seymour, B and Saitoh, Y (2015) Modulating the pain network - Neurostimulation for central poststroke pain. Nature Reviews Neurology, 11. pp. 290-299. ISSN 1759-4758

Hosomi, K and Seymour, B and Saitoh, Y (2015) Modulating the pain network—neurostimulation for central poststroke pain. Nature Reviews Neurology, 11. pp. 290-299. ISSN 1759-4758

Howard, IS and Franklin, DW (2015) Neural Tuning Functions Underlie Both Generalization and Interference. PLoS One, 10. e0131268-.

Howard, IS and Wolpert, DM and Franklin, DW (2015) The value of the follow-through derives from motor learning depending on future actions. Current Biology, 25. pp. 397-401. ISSN 0960-9822

K

Knowles, DA and Ghahramani, Z (2015) Pitman yor diffusion trees for bayesian hierarchical clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37. pp. 271-289. ISSN 0162-8828

Kotecha, G and Mano, H and Leibnitz, K and Nakae, A and Voon, V and Yoshida, W and Yanagida, T and Kawato, M and Rosa, MJ and Seymour, B (2015) A NEURAL BIOMARKER FOR CHRONIC PAIN BASED ON DECODED BRAIN NETWORKS. In: UNSPECIFIED.

L

Li, Y and Hernández-Lobato, JM and Turner, RE (2015) Stochastic expectation propagation. In: UNSPECIFIED pp. 2323-2331..

Lloyd, JR and Ghahramani, Z (2015) Statistical model criticism using kernel two sample tests. In: UNSPECIFIED pp. 829-837..

Longo, MR and Mancini, F and Haggard, P (2015) Implicit body representations and tactile spatial remapping. Acta Psychologica, 160. pp. 77-87. ISSN 0001-6918

M

Mancini, F and Beaumont, AL and Hu, L and Haggard, P and Iannetti, GD (2015) Erratum: Touch inhibits subcortical and cortical nociceptive responses (Pain (2015) 156 (1936-44)). Pain, 156. 2636-. ISSN 0304-3959

Mancini, F and Beaumont, AL and Hu, L and Haggard, P and Iannetti, GDD (2015) Touch inhibits subcortical and cortical nociceptive responses. Pain, 156. pp. 1936-1944. ISSN 0304-3959

Mancini, F and Steinitz, H and Steckelmacher, J and Iannetti, GD and Haggard, P (2015) Poor judgment of distance between nociceptive stimuli. Cognition, 143. pp. 41-47. ISSN 0010-0277

Mano, H and Seymour, B (2015) Brain network theories of chronic pain: bottom-up meets top-down. In: UNSPECIFIED p. 140..

Mano, H and Seymour, B (2015) Pain: A Distributed Brain Information Network? PLoS Biology, 13. e1002037-. ISSN 1544-9173

McNamee, D and Liljeholm, M and Zika, O and O’Doherty, JP (2015) Characterizing the associative content of brain structures involved in habitual and goal-directed actions in humans: A multivariate fMRI study. Journal of Neuroscience, 35. pp. 3764-3771. ISSN 0270-6474

Minett, MS and Pereira, V and Sikandar, S and Matsuyama, A and Lolignier, S and Kanellopoulos, AH and Mancini, F and Iannetti, GD and Bogdanov, YD and Santana-Varela, S and Millet, Q and Baskozos, G and MacAllister, R and Cox, JJ and Zhao, J and Wood, JN (2015) Endogenous opioids contribute to insensitivity to pain in humans and mice lacking sodium channel Na<inf>v</inf>1.7. Nature Communications, 6. 8967-.

N

Norbury, A and Husain, M (2015) Sensation-seeking: Dopaminergic modulation and risk for psychopathology. Behavioural Brain Research, 288. pp. 79-93. ISSN 0166-4328

Norbury, A and Kurth-Nelson, Z and Winston, JS and Roiser, JP and Husain, M (2015) Dopamine regulates approach-avoidance in human sensation-seeking. International Journal of Neuropsychopharmacology, 18. pyv041-. ISSN 1461-1457

O

O'Doherty, JP and Lee, SW and McNamee, D (2015) The structure of reinforcement-learning mechanisms in the human brain. Current Opinion in Behavioral Sciences, 1. pp. 94-100.

P

Palla, K and Knowles, DA and Ghahramani, Z (2015) Relational learning and network modelling using infinite latent attribute models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37. pp. 462-474. ISSN 0162-8828

Pauli, WM and Larsen, T and Collette, S and Tyszka, JM and Seymour, B and O’doherty, JP (2015) Distinct contributions of ventromedial and dorsolateral subregions of the human substantia nigra to appetitive and aversive learning. Journal of Neuroscience, 35. pp. 14220-14233. ISSN 0270-6474

Peharz, R and Tschiatschek, S and Pernkopf, F and Domingos, P (2015) On theoretical properties of sum-product networks. In: UNSPECIFIED pp. 744-752..

Q

Quadrianto, N and Ghahramani, Z (2015) A very simple safe-Bayesian random forest. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37. pp. 1297-1303. ISSN 0162-8828

R

Ruiz, FJR and Perez-Cruz, F (2015) A generative model for predicting outcomes in college basketball. Journal of Quantitative Analysis in Sports, 11. pp. 39-52.

S

Sadabadi, MS and Karimi, A and Karimi, H (2015) Fixed-order decentralized/distributed control of islanded inverter-interfaced microgrids. Control Engineering Practice, 45. pp. 174-193. ISSN 0967-0661

Seymour, B and Maruyama, M and De Martino, B (2015) When is a loss a loss? Excitatory and inhibitory processes in loss-related decision-making. Current Opinion in Behavioral Sciences, 5. pp. 122-127.

Shah, A and Ghahramani, Z (2015) Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions. In: UNSPECIFIED pp. 3330-3338..

Shah, A and Ghahramani, Z (2015) Parallel predictive entropy search for batch global optimization of expensive objective functions. Advances in Neural Information Processing Systems, 2015-J. pp. 3330-3338. ISSN 1049-5258

Shah, A and Knowles, DA and Ghahramani, Z (2015) An Empirical Study of Stochastic Variational Algorithms for the Beta Bernoulli Process.

Shah, A and Knowles, DA and Ghahramani, Z (2015) An Empirical Study of Stochastic Variational Inference Algorithms for the Beta Bernoulli Process. In: UNSPECIFIED pp. 1594-1603..

Steinruecken, C and Ghahramani, Z and MacKay, D (2015) Improving PPM with Dynamic Parameter Updates. In: UNSPECIFIED pp. 193-202..

Story, GW and Vlaev, I and Dayan, P and Seymour, B and Darzi, A and Dolan, RJ (2015) Anticipation and Choice Heuristics in the Dynamic Consumption of Pain Relief. PLoS Computational Biology, 11. e1004030-. ISSN 1553-734X

T

Tarran, B and Ghahramani, Z (2015) How machines learned to think statistically. Significance, 12. pp. 8-15. ISSN 1740-9705

Tobar, F and Bui, TD and Turner, RE (2015) Learning stationary time series using Gaussian processes with nonparametric kernels. In: UNSPECIFIED pp. 3501-3509..

Tolpin, D and van de Meent, J-W and Paige, B and Wood, F (2015) Output-Sensitive Adaptive Metropolis-Hastings for Probabilistic Programs. In: UNSPECIFIED pp. 311-326..

Tripuraneni, N and Gu, S and Ge, H and Ghahramani, Z (2015) Particle Gibbs for infinite Hidden Markov models. In: UNSPECIFIED pp. 2395-2403..

U

Ujfalussy, BB and Makara, JK and Branco, T and Lengyel, M (2015) Dendritic nonlinearities are tuned for efficient spike-based computations in cortical circuits. eLife, 4.

V

Valera, I and Ruiz, FJR and Svensson, L and Perez-Cruz, F (2015) A Bayesian nonparametric approach for blind multiuser channel estimation. In: UNSPECIFIED pp. 2766-2770..

Valera, I and Ruiz, FJR and Svensson, L and Perez-Cruz, F (2015) Infinite factorial dynamical model. In: UNSPECIFIED pp. 1666-1674..

W

Wade, S and Ghahramani, Z (2015) Bayesian cluster analysis: Point estimation and credible balls.

Y

Yeo, SH and Wolpert, DM and Franklin, DW (2015) Coordinate representations for interference reduction in motor learning. PLoS ONE, 10. e0129388-.

Z

Zöhrer, M and Peharz, R and Pernkopf, F (2015) On representation learning for artificial bandwidth extension. In: UNSPECIFIED pp. 791-795..

Zöhrer, M and Peharz, R and Pernkopf, F (2015) Representation learning for single-channel source separation and bandwidth extension. IEEE Transactions on Audio, Speech and Language Processing, 23. pp. 2398-2409. ISSN 1558-7916

͆

͆cibior, A and Ghahramani, Z and Gordon, AD (2015) Practical probabilistic programming with monads. In: UNSPECIFIED pp. 165-176..

This list was generated on Mon Aug 3 16:44:34 2020 BST.