human body consists of some tissues among which bone is one of the important living and growing tissue . in this research, energy absorption buildup factor (eabf) values of 27 types of bone have been computed for photon energy 0.03 to 1.5 mev up to 40 mean free path (40mfp) penetration depths. the inner bone tissue, spongiosa and male sternum had the largest values of eabf in low photon energie...

We present techniques for effective Gaussian process (GP) modelling of multiple short time series. These problems are common when applying GP models independently to each gene in a gene expression time series data set. Such sets typically contain very few time points. Naive application of common GP modelling techniques can lead to severe over-fitting or under-fitting in a significant fraction o...

ABOUT THE AUTHOR Dr. Rose is the designer of the Rose KTM lens, now fit in over 50 countries. He has presented papers on subjects including keratoconus, aphakic GP fitting for babies, case contamination, GP lens fitting and piggyback fits. He practices optometry in Hamilton, New Zealand, specializing in keratoconus and post-graft contact lenses. He is an inaugural fellow and former president of...

In quantitative dynamic PET studies, graphical analysis methods including the Gjedde-Patlak plot, the Logan plot, and the relative equilibrium-based graphical plot (RE plot) (Zhou Y., Ye W., Brasić J.R., Crabb A.H., Hilton J., Wong D.F. 2009b. A consistent and efficient graphical analysis method to improve the quantification of reversible tracer binding in radioligand receptor dynamic PET studi...

Current USFDA and EMA guidance for drug transporter interactions is dependent on IC50 measurements as these are utilized in determining whether a clinical interaction study is warranted. It is therefore important not only to standardize transport inhibition assay systems but also to develop uniform statistical criteria with associated probability statements for generation of robust IC50 values,...

Photon buildup factors for soft tissue, water, and dosimetric materials have been computed in the energy range of 0.2 to 2 MeV using geometric progression (GP) fitting approximation. The results for soft tissue and water have been compared with the values obtained through Monte Carlo code MCNP4C. Data obtained from GP fitting method quite well obey a semi empirical relation which is a function ...

Constructing models of mobile agents can be difficult without domain-specific knowledge. Parametric models flexible enough to capture all mobility patterns that an expert believes are possible are often large, requiring a great deal of training data. In contrast, nonparametric models are extremely flexible and can generalize well with relatively little training data. We propose modeling the mob...

We propose a novel sparse spectrum approximation of Gaussian process (GP) tailored for Bayesian optimization (BO). Whilst the current methods provide desired approximations regression problems, it is observed that this particular form generates an overconfident GP, i.e., produces less epistemic uncertainty than original GP. Since balance between predictive mean and variance key determinant to s...

Genetic Programming (GP), especially Geometric Semantic GP (GSGP), has shown great potential in solving numerical benchmarks in Symbolic Regression (SR) domain in recent years. However, its application on real-world problems is still limited due to the large sizes of the resulting expressions, which are prone to over-fitting and are difficult to interpret. In this paper, we suggest a combinatio...