Approximate Bayesian computation (ABC) is a powerful and elegant framework for performing inference in simulation-based models. However, due to the difficulty in scaling likelihood estimates, ABC remains useful for relatively low-dimensional problems. We introduce Hamiltonian ABC (HABC), a set of likelihood-free algorithms that apply recent advances in scaling Bayesian learning using Hamiltonia...

conclusions the hindi version of the abc scale demonstrated acceptable measurement properties, showing that abc-h can be used for assessing balance confidence in hindi-speaking, community-dwelling indian older adults. it can be an assessment tool either for clinical management or research. results the normative value of abc-h total score observed in the indian older population (n = 100) was 71%...

pathologic fractures of the jaw are usually associated with aggressive, destructive lesions or malignant lesions of the jaws. aneurysmal bone cysts (abc) of the jaws are benign lesions which normally do not cause destruction to such an extent. this article reports a relatively aggressive abc of the mandible in a 19 year-old male which destroyed the buccal and lingual cortices as well as the inf...

 Numerous problems in engineering and science can be converted into optimization problems. Artificial bee colony (ABC) algorithm is a newly developed stochastic optimization algorithm and has been widely used in many areas. However, due to the stochastic characteristics of its solution search equation, the traditional ABC algorithm often suffers from poor exploitation. Aiming at this weakness o...

Data visualization is the process of transforming data, information, and knowledge into visual form, making use of humans’ natural visual capabilities which reveals relationships in data sets that are not evident from the raw data, by using mathematical techniques to reduce the number of dimensions in the data set while preserving the relevant inherent properties. In this paper, we formulated d...

abc is a simple, yet powerful, textual musical notation. This paper presents abc::dt, a rule-based domain-specific language (Perl embedded), designed to simplify the creation of abc processing tools. Inspired by the Unix philosophy, those tools intend to be simple and compositional in a Unix filters’ way. From abc::dt’s rules we obtain an abc processing tool whose main algorithm follows a tradi...

Research in the design of aspect-oriented programming languages requires a workbench that facilitates easy experimentation with new language features and implementation techniques. In particular, new features for AspectJ have been proposed that require extensions in many dimensions: syntax, type checking and code generation, as well as data flow and control flow analyses. The AspectBench Compil...

A major problem with Artificial Bee Colony (ABC) algorithm is its premature convergence to local optima, which originates from lack of explorative search capability of the algorithm. This paper introduces ABC with Improved Explorations (ABC-IX), a novel algorithm that modifies both the selection and perturbation operations of the basic ABC algorithm in an explorative way. Unlike the basic ABC a...