The widely used K-means clustering is a hard clustering algorithm. Here we propose a Elastic K-means clustering model (EKM) using posterior probability with soft capability where each data point can belong to multiple clusters fractionally and show the benefit of proposed Elastic K-means. Furthermore, in many applications, besides vector attributes information, pairwise relations (graph informa...

Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed optimization problem; ii) non-linear learning can be brought into linear learning thanks to the kernel trick and the mapping of the initial search space onto an high dimensional feature space. The kernel is designed by the ML exper...

An Enterprise Knowledge Management (EKM) Model is a hierarchical network of rules that enables an agent to explain, anticipate and predict events and interaction patterns: (a) in the enterprise's Knowledge (Kn) Processes, or Knowledge Management (KM) Processes; and (b) in the enterprise's environment. An EKM model represents or models the Natural Knowledge Management System (NKMS) [1] of an ent...

In spite of some confusion about their respective roles, there are fundamental differences between enterprise content management and enterprise knowledge management. This white paper highlights the difference between the two approaches, and reveals why enterprise knowledge management is a better way to deliver consistently high-quality, efficient customer experiences. Introduction Customer expe...

In plasmas with strong shape and large pedestal width, like DIII-D high poloidal-beta discharges, the eigenvalue spectrum of peeling ballooning mode (PBM) is shown to shift very low-n regime near one, where n toroidal number. This peeling-type has a further = 1, thus being smoothly connected 1 external kink (EKM), as normalized beta (βN) increases. Once this connection occurs, takes mixture for...

Modeling approaches are gaining popularity in knowledge management (KM), especially in specifying knowledge contents. This paper addresses the enterprise knowledge modeling. An enterprise knowledge model provides users with an integrated, holistic view of organizational knowledge resources. Employing a reliable methodology is critical to building successful enterprise knowledge models. A good m...

BACKGROUND Deep brain stimulation (DBS) of the thalamus is a safe and efficient method for treatment of disabling tremor in patient with essential tremor (ET). However, successful tremor suppression after surgery requires careful selection of stimulus parameters. Our aim was to examine the possible use of certain quantitative methods for evaluating the efficacy of thalamic DBS in ET patients in...

Platform iş modelinin çevrimiçi ticaret içerisindeki yerinin artmasının önemli sonuçlarından biri de en çok kayrılan müşteri koşullarının piyasada yaygın bir şekilde kullanılmasıdır. Bu koşullar, esasen geleneksel piyasalarda da kullanılmaktadır. Fakat, ticaretin ekonomik dinamikleri, bu koşulları dijital platformlar için hâle getirmiştir. Geleneksel koşullarından farklı olarak, doğrudan tüketi...