The use of generalized additive models in statistical data analysis suffers from the restriction to few explanatory variables and the problems of selection of smoothing parameters. Generalized additive model boosting circumvents these problems by means of stagewise fitting of weak learners. A fitting procedure is derived which works for all simple exponential family distributions, including bin...

Subacute sclerosing panencephalitis (SSPE) is a slowly progressive inflammatory disease of the central nervous system caused by a persistent measles virus usually affecting the childhood and adolescent age group. Clinical features at onset are very subtle and non-specific. Certain atypical features can occur at onset or during the course of illness which can be misleading. Neuroimaging features...

On [24] some consequences of the Restricted Isometry Property (RIP) of matrices have been applied to develop a greedy algorithm called “ROMP” (Regularized Orthogonal Matching Pursuit) to recover sparse signals and to approximate non-sparse ones. These consequences were subsequently applied to other greedy and thresholding algorithms like “SThresh”, “CoSaMP”, “StOMP” and “SWCGP”. In this paper, ...

Whereas Operations Research concentrates on optimization, practitioners find the robustness of a proposed solution more important. Therefore this paper presents a practical methodology that is a stagewise combination of four proven techniques: (1) simulation, (2) optimization, (3) risk or uncertainty analysis, and (4) bootstrapping. This methodology is illustrated through a production-control s...

This paper addresses the general problem of modelling and learning rank data with ties. We propose a probabilistic generative model, that models the process as permutations over partitions. This results in super-exponential combinatorial state space with unknown numbers of partitions and unknown ordering among them. We approach the problem from the discrete choice theory, where subsets are chos...

Multistage stochastic programs can be approximated by restricting policies to follow decision rules. Directly applying this idea problems with integer decisions is difficult because of the need for rules that lead integral decisions. In work, we introduce Lagrangian dual (LDDRs) multistage mixed-integer programming (MSMIP) which overcome difficulty in a MSMIP. We propose two new bounding techni...

The mechanism and kinetics of the selective catalytic methylacetylene hydrogenation reaction in propane–propylene gas mixtures were studied until complete consumption them on Pd nanocatalyst (Pd/α-Al2O3) promoted by metals from Groups I, II, VI Mendeleev’s Periodic Table at a content 0.05 wt %. experiments performed an isothermic plug flow reactor 100 cm3 volume bench polytropic 8 dm3 volume. c...

We present a pose adaptive few-shot learning procedure and two-stage data interpolation regularization, termed Pose Adaptive Dual Mixup (PADMix), for single-image 3D reconstruction. While augmentations via interpolating feature-label pairs are effective in classification tasks, they fall short shape predictions potentially due to inconsistencies between interpolated products of two images volum...