Dictionary of English grammar based on common errors / by Wood, F. T.

Deplump for streaming data by Bartlett, N, Wood, F

A hierarchical nonparametric Bayesian approach to statistical language model domain adaptation by Wood, F, Teh, Y

Maximum a posteriori estimation by search in probabilistic programs by Tolpin, D, Wood, F

A nonparametric Bayesian alternative to spike sorting by Wood, F, Black, M

General practitioners' perceptions of introducing near-patient testing for common infections into routine primary care: a qualitative study. by Butler, C, Simpson, S, Wood, F

Inference compilation and universal probabilistic programming by Le, T, Baydin, A, Wood, F

Amortized Monte Carlo integration by Goliński, A, Wood, F, Rainforth, T

Socially responsible antibiotic choices in primary care: a qualitative study of GPs' decisions to prescribe broad-spectrum and fluroquinolone antibiotics. by Wood, F, Simpson, S, Butler, C

The experimental working by wet and dry methods, of a low grade silver and gold ore from Newburyport, Mass. by Wood, F. W. (Floyd William), 1926-

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Nonparametric Bayesian models for unsupervised activity recognition and tracking by Dhir, N, Perov, Y, Wood, F

Public attitudes towards bacterial resistance: a qualitative study. by Hawkings, N, Wood, F, Butler, C

An investigation of a Baroque musette bourdon using micro-computed tomography by Wood, F, Brock, F, Uden, J

Super-sampling with a reservoir by Paige, B, Sejdinovic, D, Wood, F

General practitioners' perceptions of antimicrobial resistance: a qualitative study. by Simpson, SA, Wood, F, Butler, C

Antibiotics in the community: a typology of user behaviours. by Hawkings, N, Butler, C, Wood, F

Target–aware Bayesian inference: how to beat optimal conventional estimators by Rainforth, T, Goliński, A, Wood, F, Zaidi, S

General practitioners' perceptions of antimicrobial resistance: a qualitative study. by Simpson, SA, Wood, F, Butler, C

Auto-encoding sequential Monte Carlo by Le, T, Igl, M, Rainforth, T, Jin, T, Wood, F

Using synthetic data to train neural networks is model-based reasoning by Le, T, Baydin, A, Zinkov, R, Wood, F