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Number of items: 33.

A

Asuncion, AU; Welling, M; Smyth, P; Teh, YW; (2012) On Smoothing and Inference for Topic Models. In:

B

Barrett, D; (2012) Computation in Balanced Networks. Doctoral thesis , UCL (University College London). Green open access
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Beck JM, ; Ma WJ, ; Pitkow X, ; Latham PE, ; Pouget A, ; (2012) Not noisy, just wrong: the role of suboptimal inference in behavioral variability. Neuron , 74 pp. 30-39.

Blundell, C; Teh, YW; Heller, KA; (2012) Bayesian Rose Trees. In:

Brooks, R; Hassabis, D; Bray, D; Shashua, A; (2012) Is the brain a good model for machine intelligence? NATURE , 482 (7386) pp. 462-463.

Brooks, R; Hassabis, D; Bray, D; Shashua, A; (2012) Turing centenary: Is the brain a good model for machine intelligence? Nature , 482 (7386) pp. 462-463. 10.1038/482462a.

D

Daw, ND; Courville, AC; Dayan, P; (2012) Semi-rational models of conditioning: The case of trial order. 10.1093/acprof:oso/9780199216093.003.0019.

Daw, ND; Courville, AC; Dayan, P; (2012) Semi-rational models of conditioning: The case of trial order. The Probabilistic Mind: Prospects for Bayesian cognitive science , 978019 10.1093/acprof:oso/9780199216093.003.0019.

Dayan, P; (2012) How to set the switches on this thing. Current opinion in neurobiology , 22 (6) 1068 - 1074.

Dayan, P; (2012) Models of Value and Choice. pp. 33-52. 10.1016/B978-0-12-381431-9.00002-4.

G

Grünewälder, S; Lever, G; Baldassarre, L; Patterson, S; Gretton, A; Pontil, M; (2012) Conditional mean embeddings as regressors - supplementary.

Guez, A; Silver, D; Dayan, P; (2012) Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search. In: Bartlett, PL and Pereira, FCN and Burges, CJC and Bottou, L and Weinberger, KQ, (eds.) (pp. pp. 1034-1042).

H

Hildebrandt, KJ; Anderson, LA; Sahani, M; Linden, JF; (2012) Anaesthetic condition alters response time-course, long-range coordination of firing, and spike isolation quality in mouse auditory cortex. In:

J

Jeni, LA; Lőrincz, A; Nagy, T; Palotai, Z; Sebők, J; Szabó, Z; Takács, D; (2012) 3D shape estimation in video sequences provides high precision evaluation of facial expressions. Image and Vision Computing , 30 (10) 785 - 795. 10.1016/j.imavis.2012.02.003. Green open access
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M

Malmaud, J; Tenenbaum, JB; Dayan, P; Maloney, LT; Vul, E; Chater, N; (2012) Computational, Cognitive, and Neural Models of Decision-making Biases. In: Miyake, N and Peebles, D and Cooper, RP, (eds.) cognitivesciencesociety.org

Mnih, A; (2012) Taxonomy-Informed Latent Factor Models for Implicit Feedback. KDD Cup , 18 pp. 169-181.

Mnih, A; Teh, YW; (2012) A fast and simple algorithm for training neural probabilistic language models. In: icml.cc / Omnipress

Montague, PR; Dolan, RJ; Friston, KJ; Dayan, P; (2012) Erratum: Computational psychiatry. [Trends in Cognitive Sciences 16 (2012), 72-80] (DOI:10.1016/j.tics.2011.11.018). Trends in Cognitive Sciences

O

Osman, M; Speekenbrink, M; Dayan, P; Watanabe, M; Harvey, N; (2012) Dynamic decision making: neuronal, computational, and cognitive underpinnings. In: Miyake, N and Peebles, D and Cooper, RP, (eds.) cognitivesciencesociety.org

P

Pachitariu, M; Sahani, M; (2012) Learning visual motion in recurrent neural networks. In: (pp. pp. 1322-1330).

Piechocki, RJ; Sejdinovic, D; (2012) Combinatorial channel signature modulation for wireless ad-hoc networks. IEEE International Conference on Communications pp. 4684-4689. 10.1109/ICC.2012.6363956.

Pintér, B; Vörös, G; Szabo, Z; Lőrincz, A; (2012) Automated Word Puzzle Generation Using Topic Models and Semantic Relatedness Measures. Presented at: Joint Conference on Mathematics and Computer Science (MACS), Siófok, Hungary. Green open access
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Pintér, B; Vörös, G; Szabo, Z; Lőrincz, A; (2012) Automated Word Puzzle Generation Using Topic Models and Semantic Relatedness Measures. Annales Universitatis Scientiarum Budapestinensis de Rolando Eötvös Nominatae, Sectio Computatorica , 36 299 - 322. Green open access
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Pintér, B; Vörös, G; Szabo, Z; Lőrincz, A; (2012) Automated Word Puzzle Generation via Topic Dictionaries. Presented at: International Conference on Machine Learning (ICML) - Sparsity, Dictionaries and Projections in Machine Learning and Signal Processing Workshop, Edinburgh, Scotland. Green open access
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R

Rao, VAP; (2012) Markov chain Monte Carlo for continuous-time discrete-state systems. Doctoral thesis , UCL (University College London). Green open access
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Ruhl, M; Chhatwal, P; Strathmann, H; Kuntzen, T; Bankwitz, D; Skibbe, K; Walker, A; ... Timm, J; + view all (2012) Escape from a Dominant HLA-B*15-Restricted CD8(+) T Cell Response against Hepatitis C Virus Requires Compensatory Mutations outside the Epitope. JOURNAL OF VIROLOGY , 86 (2) pp. 991-1000. 10.1128/JVI.05603-11.

S

Sejdinovic, D; Gretton, A; Sriperumbudur, B; Fukumizu, K; (2012) Hypothesis testing using pairwise distances and associated kernels.

Sejdinovic, D; Gretton, A; Sriperumbudur, BK; Fukumizu, K; (2012) Hypothesis testing using pairwise distances and associated kernels. In: icml.cc / Omnipress

Szabo, Z; (2012) Distributed High Dimensional Information Theoretical Image Registration via Random Projections. Digital Signal Processing , 22 (6) 894 - 902. 10.1016/j.dsp.2012.04.018.

Szabo, Z; (2012) Group-Structured and Independent Subspace Based Dictionary Learning. Doctoral thesis , Eötvös Loránd University.

Szabo, Z; Póczos, A; Lőrincz, A; (2012) Collaborative Filtering via Group-Structured Dictionary Learning. In: (Proceedings) International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA). (pp. 247 - 254). Springer-Verlag, Berlin Heidelberg Green open access
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Szabo, Z; Póczos, B; Lőrincz, A; (2012) Separation theorem for independent subspace analysis and its consequences. Pattern Recognition , 45 (4) 1782 - 1791. 10.1016/j.patcog.2011.09.007. Green open access
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W

Wunderlich, K; Dayan, P; Dolan, RJ; (2012) Mapping value based planning and extensively trained choice in the human brain. Nat Neurosci , 15 (5) 786 - 791. 10.1038/nn.3068. Gold open access

This list was generated on Sun May 20 02:04:06 2018 BST.