This paper provides a concise description of the philosophy, mathematics, and algorithms for estimating, detecting, and attributing climate changes. The estimation follows the spectral method by using empirical orthogonal functions, also called the method of reduced space optimal averaging. The detection follows the linear regression method, which can be found in most textbooks about multivaria...

Perturbed Quantization (PQ) steganography scheme is almost undetectable with the current steganalysis methods. We present a new steganalysis method for detection of this data hiding algorithm. We show that the PQ method distorts the dependencies of DCT coefficient values; especially changes much lower than significant bit planes. For steganalysis of PQ, we propose features extraction from the e...

In this work, a Genetic Algorithm boosted Least Square Support Vector Machine model by a set of linear equations instead of a quadratic program, which is improved version of Support Vector Machine model, was used for estimation of 98 pure compounds second virial coefficient. Compounds were classified to the different groups. Finest parameters were obtained by Genetic Algorithm method ...

In this work, we deal with a relatively new statistical tool in machine learning: the estimation of the ratio of two probability densities, or density ratio estimation for short. As a side piece of research that gained its own traction, we also tackle the task of parameter selection in learning algorithms based on kernel methods. 1 Density Ratio Estimation The estimation of the ratio of two pro...

Ground movements during tunnel excavation are varied in magnitude and trend depending on several factors including the tunnel geometry, ground conditions, excavation methods, and support measures, etc. There exist several empirical and semi-empirical formulas available for predicting ground movements. These conventional methods, however, do not simultaneously take into consideration all the fac...

Approximate electronic trial wave function taken as the antisymmetrized product of strictly localized geminals (APSLG) is implemented for semiempirical analysis of molecular electronic structure of “organic” compounds and for calculations of their heats of formation. This resulted in an O(N)-scaling method. Using the MINDO/3 form of the semiempirical Hamiltonian with reparameterized βAB values ...

II More Experiments We present more experimental results that are not included in the main paper in this section. We consider the same experiment environment, and the same problem being solved. We present the results using different values of C to see the relative efficiency when the problems become more difficult or easier. The result of C = 10−3 is shown in Figure (I), and the result of C = 1...

We consider the problem of minimizing the sum of two convex functions: one is the average of a large number of smooth component functions, and the other is a general convex function that admits a simple proximal mapping. We assume the whole objective function is strongly convex. Such problems often arise in machine learning, known as regularized empirical risk minimization. We propose and analy...

Ab4'uci.t — The structures and reactivities of proteins are markedly influenced by water. In conformational energy calculations, the hydration of proteins is treated by a hydration-shell model. Originally, the shell model was parameterized with exoerimental data, but more recently empirical potentials were introduced to obtain these parameters by Monte Carlo and molecular dynamics techniques. T...