CUED Publications database

Items where Division is "Div F > Computational and Biological Learning" and Year is 2006

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Number of items: 91.

A

Azran, A and Ghahramani, Z (2006) Spectral Methods for Automatic Multiscale Data Clustering. In: UNSPECIFIED pp. 190-197..

Azran, A and Ghahramani, Z (2006) Spectral methods for automatic multiscale data clustering. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006-6-17 to 2006-6-22, New York, US -..

Azran, A and Ghahramani, Z (2006) A new approach to data driven clustering. In: The 23rd International Conference on Machine learning; ICML 2006, 2006-8- to --, Pittsburgh, PA, US pp. 57-64..

Azran, A and Ghahramani, Z (2006) A new approach to data driven clustering. ICML 2006 - Proceedings of the 23rd International Conference on Machine Learning, 2006. pp. 57-64.

B

Bays, PM and Flanagan, JR and Wolpert, DM (2006) Attenuation of self-generated tactile sensations is predictive, not postdictive. PLoS Biology, 4. pp. 281-284. ISSN 1544-9173

Bays, PM and Wolpert, DM (2006) Actions and consequences in bimanual interaction are represented in different coordinate systems. Journal of Neuroscience, 26. pp. 7121-7126. ISSN 0270-6474

Beal, M and Ghahramani, Z (2006) The variational Kalman smoother. Technical Report. Gatsby Computational Neuroscience Unit, University College London (UCL), London, UK.

Beal, MJ and Ghahramani, Z (2006) Variational Bayesian learning of directed graphical models with hidden variables. Bayesian Analysis, 1. pp. 793-832. ISSN 1936-0975

Burdet, E and Tee, KP and Mareels, I and Milner, TE and Chew, CM and Franklin, DW and Osu, R and Kawato, M (2006) Stability and motor adaptation in human arm movements. BIOL CYBERN, 94. pp. 20-32. ISSN 0340-1200

C

Chu, W and Ghahramani, Z and Krause, R and Wild, DL (2006) Identifying protein complexes in high-throughput protein interaction screens using an infinite latent feature model. In: The Pacific Symposium Biocomputing 2006, 2006-1-3 to 2006-1-7, Hawaii, HI, US pp. 231-242..

Chu, W and Ghahramani, Z and Wild, DL (2006) Bayesian segmental models with multiple sequence alignment profiles for protein secondary structure and contact map prediction. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 3. pp. 98-113. ISSN 1545-5963

Chu, W and Keerthi, SS and Ong, CJ and Ghahramani, Z (2006) Bayesian support vector machines for feature ranking and selection. In: Feature Extraction, Foundations and Applications. Studies in Fuzziness and Soft Computing, 207 . Springer, pp. 403-416.

Chu, W and Sindhwani, V and Keerthi, S and Ghahramani, Z (2006) Relational learning with Gaussian processes. In: 20th Conference on Advances in Neural Information Processing Systems (NIPS), 2006-12-4 to 2006-12-7, Vancouver, Canada pp. 289-296..

D

Daw, ND and O'Doherty, JP and Dayan, P and Seymour, B and Dolan, RJ (2006) Cortical substrates for exploratory decisions in humans. Nature, 441. pp. 876-879.

Dayan, P and Niv, Y and Seymour, B and Daw, ND (2006) The misbehavior of value and the discipline of the will. Neural Netw, 19. pp. 1153-1160. ISSN 0893-6080

De Martino, B and Kumaran, D and Seymour, B and Dolan, RJ (2006) Frames, biases, and rational decision-making in the human brain. Science, 313. pp. 684-687.

Diamond, ME and Rizzolatti, G and Haggard, P and Scott, SH and Logothetis, NK and Treves, A and Sparks, DL and Gold, JI and Schall, JD and Derdikman, D and Albright, TD and Barash, S and Hasson, U and Harris, JA and Wolpert, DM and Ditterich, J and Krubitzer, L and Dehaene, S (2006) Final general discussion. Novartis Foundation Symposium, 270. pp. 285-292. ISSN 1528-2511

F

Franklin, DW and Burdet, E and Osu, R and So, U and Tee, KP and Milner, TE and Kawato, M (2006) Learning the dynamics of the external world: Brain inspired learning for robotic applications. In: UNSPECIFIED UNSPECIFIED, pp. 109-112.

G

Ghahramani, Z and Griffiths, TL and Sollich, P (2006) Bayesian nonparametric latent feature models (with discussion). In: 8th Valencia International Meeting on Bayesian Statistics, 2006-6-2 to 2006-6-6, Benidorm, Alicante, Spain -..

Ghahramani, Z and Heller, KA (2006) Bayesian sets. In: Advances in Neural Information Processing Systems 18. Bradford Series . MIT Press, Cambridge, MA, USA, pp. 435-442.

Gorur, D and Jakel, F and Rasmussen, CE (2006) A choice model with infinitely many latent features. In: The 23rd International Conference on Machine Learning; ICML 2006, 2006-8- to --, Pittsburgh, PA, USA pp. 361-368..

Griffiths, TL and Ghahramani, Z (2006) Infinite latent feature models and the Indian buffet process. In: Advances in Neural Information Processing Systems 18. Bradford Series . MIT Press, Cambridge, MA, USA, pp. 475-482.

H

Hamilton, AF and Wolpert, DM and Frith, U and Grafton, ST (2006) Where does your own action influence your perception of another person's action in the brain? Neuroimage, 29. pp. 524-535. ISSN 1053-8119

Hannus, A and van den Berg, R and Bekkering, H and Roerdink, JBTM and Cornelissen, FW (2006) Visual search near threshold: Some features are more equal than others. J Vis, 6. pp. 523-540.

Harris, CM and Wolpert, DM (2006) The main sequence of saccades optimizes speed-accuracy trade-off. Biological Cybernetics, 95. pp. 21-29. ISSN 0340-1200

Heller, KA and Ghahramani, Z (2006) Bayesian Hierarchical clustering. Technical Report. Gatsby Computational Neuroscience Unit, University College London (UCL), London, UK.

Heller, KA and Ghahramani, Z (2006) A Bayesian approach to information retrieval from sets of items. In: 26th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering CNRS, 2006-7-8 to 2006-7-13, Paris, France.

Heller, KA and Ghahramani, Z (2006) Efficient Bayesian hierarchical clustering for gene expression data. In: Valencia/ISBA 8th World Meeting on Bayesian Statistics, 2006-6-1 to 2006-6-6, Benidorm, Spain.

Heller, KA and Ghahramani, Z (2006) A Simple Bayesian Framework for Content-Based Image Retrieval. In: UNSPECIFIED pp. 2110-2117..

Heller, KA and Ghahramani, Z (2006) A simple Bayesian framework for content-based image retrieval. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006-6-17 to 2006-6-22, New York, US -..

Hernandez-Lobato, D and Hernandez-Lobato, JM and Ruiz-Torrubiano, R and Valle, A (2006) Pruning adaptive boosting ensembles by means of a genetic algorithm. In: UNSPECIFIED pp. 322-329..

Hernandez-Lobato, JM and Suarez, A (2006) Competitive and collaborative mixtures of experts for financial risk analysis. In: UNSPECIFIED pp. 691-700..

K

KIM, HC and Ghahramani, Z (2006) Bayesian gaussian process classification with the EM-EP algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence, 28. pp. 1948-1959. ISSN 0162-8828

Kalisch, R and Korenfeld, E and Stephan, KE and Weiskopf, N and Seymour, B and Dolan, RJ (2006) Context-dependent human extinction memory is mediated by a ventromedial prefrontal and hippocampal network. J Neurosci, 26. pp. 9503-9511.

Kim, HC and Kim, D and Ghahramani, Z and Bang, SY (2006) Appearance-based gender classification with Gaussian processes. Pattern Recognition Letters, 27. pp. 618-626. ISSN 0167-8655

Kim, HC and Kim, D and Ghahramani, Z and Bang, SY (2006) Gender classification with Bayesian kernel methods. In: 2006 International Joint Conference on Neural Networks (IJCNN), 2006-7-16 to 2006-7-21, Vancouver, BC, Canada.

Kim, HC and Kim, D and Ghahramani, Z and Bang, SY (2006) Gender classification with Bayesian kernel methods. In: UNSPECIFIED pp. 3371-3376..

Kitazawa, S and Wolpert, DM (2006) Response to Gilbert: Rhythmicity, randomness and synchrony in climbing fiber signals. TRENDS NEUROSCI, 29. pp. 66-67. ISSN 0166-2236

Kording, KP and Wolpert, DM (2006) Bayesian decision theory in sensorimotor control. Trends in Cognitive Sciences, 10. pp. 319-326. ISSN 1364-6613

Kording, KP and Wolpert, DM (2006) Probabilistic mechanisms in sensorimotor control. In: Percept Decision Action: Bridging the Gaps, 2004-10- to --, Trieste, Italy pp. 191-198..

Kurata, D and Nankaku, Y and Tokuda, K and Kitamura, T and Ghahramani, Z (2006) Face recognition based on separable lattice HMMS. In: UNSPECIFIED pp. 5595-5598..

Kurata, D and Nankaku, Y and Tokuda, K and Kitamura, T and Ghahramani, Z (2006) Face recognition based on separable lattice HMMS. In: UNSPECIFIED 737-+..

Kurata, D and Nankaku, Y and Tokuda, K and Kitamura, T and Ghahramani, Z (2006) Face recognition based on separate lattice HMMs. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006), 2006-5-14 to 2006-5-19, Toulouse, France.

Kuss, M and Rasmussen, CE (2006) Assessing approximate inference for binary Gaussian process classification. Journal of Machine Learning Research, 6. pp. 1679-1704. ISSN 1532-4435

Kuss, M and Rasmussen, CE (2006) Assessing approximations for Gaussian process classification. In: 19th Annual Conference on Neural Information Processing Systems (NIPS Workshop), 2005-12-9 to --, Whistler, Canada pp. 699-706..

L

Lee, J and Lamperski, A and Schmitt, J and Cowan, N (2006) Task-level control of the lateral leg spring model of cockroach locomotion. In: UNSPECIFIED UNSPECIFIED, pp. 167-188.

Lengyel, M (2006) Computing with spikes. In: Computational and Systems Neuroscience (Cosyne 2006), 2006-3-9 to 2006-3-10, Salt Lake City, Utah.

Lengyel, M (2006) Firing rates and times in the hippocampus: what are they good for? In: ENS/UCL Workshop on Computational Neuroscience: From Biophysics to Computation and Back, 2006-6-9 to 2006-6-11, Paris, France.

Lengyel, M (2006) Firing rates and times in the hippocampus: what are they good for? In: Hippocampal Interactions within the Medial Temporal Lobe, 2006-5-10 to 2006-5-12, London, UK.

Lengyel, M (2006) Functional models of the hippocampal formation. In: 15th Annual on Computational Neurosciences Meeting (CNS 2006), 2006-7-15 to 2006-7-18, Edinburgh, UK.

Lengyel, M (2006) Matching storage and recall: spike timing-dependent plasticity and phase response curves in the hippocampus. Workshop on Phase response curves: where theory and experiments intersect. In: 15th Annual Computational Neuroscience Meeting (CNS 2006), 2006-7-15 to 2006-7-20, Edinburgh, UK.

Lengyel, M (2006) Workshop on cortico-hippocampal dynamics: navigation and neuromodulation. In: US - Hungarian Workshops on Large-Scale Random Graph Methods for Modeling Mesoscopic Behavior in Biological and Physical Systems, 2006-8-28 to 2006-9-4, Budapest, Hungary.

Lengyel, M and Dayan, P (2006) Firing rates and times in the hippocampus: what are they good for? In: Computational and Systems Neuroscience (Cosyne 2006), 2006-3-5 to 2006-3-8, Salt Lake City, Utah.

Logothetis, NK and Gold, JI and Treves, A and Diamond, ME and Wolpert, DM and Dehaene, S and Haggard, P and Schall, JD and Scott, SH and Romo, R (2006) Discussion. Novartis Foundation Symposium, 270. pp. 101-107. ISSN 1528-2511

Logothetis, NK and Romo, R and Derdikman, D and Barash, S and Rizzolatti, G and Wolpert, DM and Gold, JI and Treves, A and Diamond, ME and Schall, JD and Sparks, DL (2006) General discussion II. Novartis Foundation Symposium, 270. pp. 108-113. ISSN 1528-2511

M

Meeds, E and Ghahramani, Z and Neal, R and Roweis, ST (2006) Modelling dyadic data with binary latent factors. In: 20th Conference on Advances in Neural Information Processing Systems (NIPS), 2006-12-4 to 2006-12-7, Vancouver, Canada pp. 977-984..

Miklós, I and Paige, TB and Ligeti, P (2006) Efficient sampling of transpositions and inverted transpositions for bayesian mcmc. In: UNSPECIFIED pp. 174-185..

Milner, TE and Franklin, DW and Imamizu, H and Kawato, M (2006) Central representation of dynamics when manipulating handheld objects. J Neurophysiol, 95. pp. 893-901. ISSN 0022-3077

Milner, TE and Ng, B and Franklin, DW (2006) Learning feedforward commands to muscles using time-shifted sensory feedback. In: UNSPECIFIED UNSPECIFIED, pp. 113-116.

Murray, I and Ghahramani, Z (2006) A note on the evidence and Bayesian Occam's razor. Technical Report. Gatsby Computational Neuroscience Unit, University College London (UCL), London, UK.

Murray, I and Ghahramani, Z and MacKay, DJC (2006) MCMC parameter learning in spatial statistics. In: Valencia/ISBA 8th World Meeting on Bayesian Statistics, 2006-6-1 to 2006-6-6, Benidorm, Spain.

Murray, I and McKay, DJC and Ghahramani, Z (2006) Nested sampling for Potts models. In: Advances in Neural Information Processing Systems 18. Bradford Series . MIT Press, Cambridge, MA, USA, pp. 947-954.

Murray, IA and Ghahramani, Z and MacKay, DJC (2006) MCMC for doubly-intractable distributions. In: 22nd Conference on Uncertainty in Artificial Intelligence (UAI 2006), 2006-7-13 to 2006-7-16, Cambridge, MA, US pp. 359-366..

O

Orban, G and Aslin, RN and Fiser, J and Lengyel, M (2006) Bayesian model learning in human visual perception. In: Computational and Systems Neuroscience (Cosyne 2006), 2006-3-5 to 2006-3-8, Salt Lake City, Utah.

Orban, G and Fiser, J and Aslin, RN and Lengyel, M (2006) Bayesian model learning in human visual perception. In: Advances in Neural Information Processing Systems. Massachusets Institute of Technology Press, Cambridge, MA, pp. 1043-1050.

Orban, G and Fiser, J and Aslin, RN and Lengyel, M (2006) Learning objects by learning models: finding independent causes and preferring simplicity. In: Proceedings of the 28th Annual Conference of the Cognitive Science Society (CogSci 2006). UNSPECIFIED, pp. 645-650.

Orbanz, P and Buhmann, JM (2006) Smooth image segmentation by nonparametric Bayesian inference. In: UNSPECIFIED pp. 444-457..

Orbán, G and Kiss, T and Erdi, P (2006) Intrinsic and synaptic mechanisms determining the timing of neuron population activity during hippocampal theta oscillation. Journal of Neurophysiology, 96. pp. 2889-2904.

P

Pessiglione, M and Seymour, B and Flandin, G and Dolan, RJ and Frith, CD (2006) Dopamine-dependent prediction errors underpin reward-seeking behaviour in humans. Nature, 442. pp. 1042-1045.

Pfingsten, T and Herrmann, D and Rasmussen, CE (2006) Model-based design analysis and yield optimization. IEEE Transactions on Semiconductor Manufacturing, 19. pp. 475-486. ISSN 0894-6507

Q

Quiñonero Candela, J and Rasmussen, CE (2006) A unifying view of sparse approximate Gaussian process regression. Journal of Machine Learning Research, 6. pp. 1939-1960. ISSN 1532-4435

Quiñonero Candela, J and Rasmussen, CE and Sinz, F and Bousquet, O and Scholkopf, B (2006) Evaluating predictive uncertainty challenge. In: Machine Learning Challenges. Lecture Notes in Computer Science, 3944 . Springer, Germany, pp. 1-27.

R

Rasmussen, CE and Williams, CKI (2006) Gaussian processes for machine learning. MIT Press, Cambridge, MA, USA, -.

Romo, R and Rizzolatti, G and Albright, TD and Logothetis, NK and Treves, A and Barash, S and Diamond, ME and Esteky, H and Schall, JD and Wolpert, DM and Haggard, P and Scott, SH and Derdikman, D (2006) General discussion IV. Novartis Foundation Symposium, 270. pp. 232-237. ISSN 1528-2511

S

Schall, JD and Harris, JA and Logothetis, NK and Diamond, ME and Haggard, P and Treves, A and Wolpert, DM and Scott, SH and Romo, R and Derdikman, D (2006) Discussion. Novartis Foundation Symposium, 270. pp. 246-250. ISSN 1528-2511

Schall, JD and Sparks, DL and Logothetis, NK and Derdikman, D and Gold, JI and Brecht, M and Diamond, ME and Wolpert, DM and Barash, S (2006) Discussion. Novartis Foundation Symposium, 270. pp. 88-91. ISSN 1528-2511

Scott, SH and Diamond, ME and Logothetis, NK and Wolpert, DM and Albright, TD and Barash, S and Rizzolatti, G and Brecht, M and Gold, JI and Sparks, DL and Krubitzer, L and Haggard, P and Derdikman, D and Harris, JA and Romo, R (2006) Discussion. Novartis Foundation Symposium, 270. pp. 31-37. ISSN 1528-2511

Scott, SH and Wolpert, DM and Gold, JI and Derdikman, D and Logothetis, NK and Dehaene, S and Treves, A and Sparks, DL and Haggard, P (2006) Discussion. Novartis Foundation Symposium, 270. pp. 198-202. ISSN 1528-2511

Seymour, B (2006) Carry on eating: neural pathways mediating conditioned potentiation of feeding. J Neurosci, 26. pp. 1061-1062.

Silva, R and Ghahramani, Z (2006) Bayesian inference for Gaussian mixed graph models. In: 22nd Conference on Uncertainty in Artificial Intelligence (UAI 2006), 2006-7-13 to 2006-7-16, Cambridge, MA, US pp. 453-460..

Snelson, E and Ghahramani, Z (2006) Sparse Gaussian processes using pseudo-inputs. In: Advances in Neural Information Processing Systems 18. Bradford Series . MIT Press, Cambridge, MA, USA, pp. 1257-1264.

Snelson, E and Ghahramani, Z (2006) Variable noise and dimensionality reduction for sparse Gaussian processes. In: UAI 2006: 22nd Conference on Uncertainty in Artificial Intelligence, 2006-7-13 to 2006-7-16, Cambridge, MA, US pp. 461-468..

T

Tanifuji, M and Rizzolatti, G and Tsakiris, M and Romo, R and Harris, JA and Logothetis, NK and Diamond, ME and Sparks, DL and Schall, JD and Rumiati, RI and Treves, A and Derdikman, D and Wolpert, DM and Gold, JI and Dehaene, S and Krubitzer, L and Porro, CA (2006) General discussion III. Novartis Foundation Symposium, 270. pp. 164-169. ISSN 1528-2511

Tootoonian, S and Abugharbieh, R and Huang, X and McKeown, MJ (2006) Shape vs. volume: Invariant shape descriptors for 3D region of interest characterization in MRI. 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings, 2006. pp. 754-757.

Treves, A and Diamond, ME and Wolpert, DM and Brecht, M and Derdikman, D and Scott, SH and Romo, R and Sparks, DL and Haggard, P and Logothetis, NK and Schall, JD and Rizzolatti, G and Porro, CA and Esteky, H and Barash, S (2006) General discussion I. Novartis Foundation Symposium, 270. pp. 51-58. ISSN 1528-2511

Treves, A and Ditterich, J and Diamond, ME and Schall, JD and Gold, JI and Wolpert, DM and Logothetis, NK and Mehler, J (2006) Discussion. Novartis Foundation Symposium, 270. pp. 126-128. ISSN 1528-2511

Turner, RE and Al-Hames, MA and Smith, DRR and Kawahara, H and Irino, T and Patterson, RD (2006) Vowel normalisation: Time-domain processing of the internal dynamics of speech. In: Dynamics of Speech Production and Perception. IOS Press, pp. 153-170.

V

Voss, M and Ingram, JN and Haggard, P and Wolpert, DM (2006) Sensorimotor attenuation by central motor command signals in the absence of movement. Nature Neuroscience, 9. pp. 26-27. ISSN 1097-6256

W

Wood, F and Griffiths, TL and Ghahramani, Z (2006) A non-parametric Bayesian method for inferring hidden causes. In: 22nd Conference on Uncertainty in Artificial Intelligence (UAI 2006), 2006-7-13 to 2006-7-16, Cambridge, MA, US pp. 536-543..

Z

Zhang, J and Ghahramani, Z and Yang, Y (2006) Learning multiple related tasks using latent independent component analysis. In: Advances in Neural Information Processing Systems 18. Bradford Series . MIT Press, Cambridge, MA, USA, pp. 1585-1592.

Zhu, X and Kandola, J and Lafferty, J and Ghahramani, Z (2006) Graph kernels by spectral transforms. In: Semi-Supervised Learning, Chapter 15. MIT Press, Cambridge, MA, USA, pp. 277-289.

This list was generated on Tue Oct 27 07:04:50 2020 GMT.