Kernel methods are a popular choice in solving a number of problems in statistical machine learning. In this thesis, we propose new methods for two important kernel based classification problems: 1) learning from highly unbalanced large-scale datasets and 2) selecting a relevant subset of input features for a given kernel specification. The first problem is known as the rare class problem, whic...

Background: Mosaicism of a normal cell population and an unbalanced autosomal chromosome rearrangement is rarely seen. If the abnormal cell line contributes to a minor part of soma, the phenotype is expected to be normal. Case Report: We report a 29-year-old woman who had balance chromosomal translocation of 46,XX,t(5;21) with a 2-year-old affected girl, characterized by mental retardation, dys...

Location S1A1 S1A2 S2A1 S2A2 Fig. 1 Design for the estimation of the random components of uncertainty arising from both the sampling and the analytical procedures. (A) Balanced design. (B) Unbalanced design. An empirical estimation of the random components of measurement uncertainty arising from the sampling and analytical processes can be made via an experiment involving replication. Analysis ...

Development of distributed generations’ technology, trends in the use of these sources to improve some of the problems such as high losses, low reliability, low power quality and high costs in distributed networks. Choose the correct location to install and proper capacity of these sources, such as important things that must be considered in their use. Since distribution networks are actu...

State-of-the-art classification algorithms suffer when the data is skewed towards one class. This led to the development of a number of techniques to cope with unbalanced data. However, as confirmed by our experimental comparison, no technique appears to work consistently better in all conditions. We propose to use a racing method to select adaptively the most appropriate strategy for a given u...

In induction machines, an eccentrically positioned rotor experienced a strong unbalanced pull toward the short side of the air gap. The non-symmetric flux distribution due to the eccentricity induces circulating currents in the rotor cage and parallel branches of the stator winding. These currents equalise the flux distribution and reduce the unbalanced magnetic pull. In this paper, the effects...

This paper presents a novel distribution power flow algorithm to estimate losses and analyze unbalanced distribution systems. An unbalanced distribution network is decomposed into clusters. The unbalanced laterals are solved using the backward/forward sweep method in each phase. The clustering of total network makes faster computation. The three phase modeling of all the distribution transforme...

Harmonics related concerns were initially centered at a few large harmonic-producing devices until the early 1980s. Because these devices, such as HVDC and SVC, and their supply systems are well balanced among three phases, harmonic analysis based on positive sequence network representations was generally sufficient. The situation has changed significantly in recent years. More and more harmoni...

Abstract In this work we address the problem of phase sensitivity optimization for an unbalanced Mach-Zehnder interferometer. While quantum Fisher information can be employed in order to obtain optimum transmission coefficient first beam splitter, is no longer true second one, whose detection-scheme dependent. We thus consider three commonly used detection schemes and provide optimal solution e...