When training Support Vector Machines (SVMs) over non-separable data sets, one sets the threshold b using any dual cost coeecient that is strictly between the bounds of 0 and C. We show that there exist SVM training problems with dual optimal solutions with all coeecients at bounds, but that all such problems are degenerate in the sense that the \optimal separating hyperplane" is given by w = 0...

A method suited for hardware implementation assists in evaluating a multivariable, floating-point function F(X,Y,...Z) defined on an N-dimensional rectangular grid. A preprocessing stage analyzes the function’s breakpoints for each dimension. It determines a subinterval range that includes the breakpoint range for that dimension and subdivides the subinterval range into equal-sized subintervals...

BACKGROUND In the literature, 'below and lateral to the superior S1 facet' is defined as the basic technique for screw introduction. Until a recently published modification, no analysis for alternative starting point has been proposed nor evaluated, although some surgeons claim to use some modifications. In this study, we analyse the data from anatomical and radiological studies for optimal sta...

Managing transition. Support for individuals at key point of change explores a range of transitions commonly encountered by those who receive support from health and social services. The focus of the book is on the individual experiencing these transitions, when he or she moves across organisational boundaries or from childhood to adulthood, experiences ageing or changes in health status. It ai...

We investigate the use of interior-point methods for solving quadratic programming problems with a small number of linear constraints, where the quadratic term consists of a low-rank update to a positive semidefinite matrix. Several formulations of the support vector machine fit into this category. An interesting feature of these particular problems is the volume of data, which can lead to quad...

Change Point Detection in time series data is of interest in various research areas including data mining, pattern recognition, statistics, etc. Even though there are several e®ective methods in the literature for detecting changes in mean, and an increase in variance, there are none for decrease in variance. E®ective detection of decreased variance has been reported as future work in earlier p...

This paper presents a summary of reference point methodology in vector optimization and decision support. The methodology was developed at IIASA since 1980 and applied in numerous projects, both in IIASA and elsewhere. The paper presents methodological foundations, basic concepts and notation, reference points and achievement functions, neutral and weighted compromise solutions, issues of model...

Supporting ambulant care through information technologies will assist the care personnel in their everyday routine resulting in more time for their patients. Therefore the MARIKA project focusses on developing an assistance system for facilitating the care documentation process through pervasive technologies. In this context, various data need to be handled which requires database techniques fo...