As one of the classification methods, the Relevance Vector Machine (RVM) can solve the problems of poor sparseness and lack of probability prediction factors in Support Vector Machine (SVM). To overcome the problem of experience-based parameters selection for RVM, a kind of RVM based on particle swarm optimization (PSO) is proposed, which includes the model parameter estimation, training and mo...

Write OK for the valuation ting, MK for the maximal ideal of K and kK for the residue field. Let us fix $ some uniformizer of K. We denote by acm : K → OK/(MK) the map sending some nonzero x ∈ K to x$−ord(x) mod MK , and sending zero to zero. This is a definable map. We denote by RV the union of K×/(1 +MK) and {0} and by rv : K → RV the quotient map. More generally, if m ∈ N∗, we set RVm = K×/(...

This paper focuses on modeling foreign exchange return behavior that would result in more accurate currency options pricing. These alternative approaches namely, implied volatility model (IVM), realized volatility model (RVM) and GARCH (1,1) volatility model (GVM) are used in this study. The results, in general suggest that RVM outperforms both IVM and GVM in pricing currency options. In-sample...

The aim of the present work was to design and develop of a Data mining based Network Intrusion Detection System which can detect intrusions based on misuse detection technique and learning algorithm. The work also aimed at reducing number of false alarms by characterizing the target network with appropriate network parameters and analyzing them with mathematical models. This project proposed th...

We report the results of large scale numerical studies of the dynamic and static properties of the random phase model of the randomly pinned flux lines confined in a plane. From the onset of nonlinear IV characteristics, we identify a vortex glass transition at the theoretically anticipated temperature. However, the vortex glass phase itself is much less glassy than expected. No signature of th...

Modulation of spinal nociceptive transmission by neurotensin microinjected in the rostral ventromedial medulla (RVM) was examined in anesthetized, paralyzed rats. Forty-three spinal dorsal horn neurons in the L3-L5 spinal segments responding to mechanical and noxious thermal stimulation (50 degrees C) of the plantar surface of the ipsilateral hind foot were studied. Spinal units were classified...

The analgesic actions of opioids can be modified by endogenous "anti-opioid" peptides, among them cholecystokinin (CCK). CCK is now thought to have a broader, pronociceptive role, and contributes to hyperalgesia in inflammatory and neuropathic pain states. The aim of this study was to determine whether anti-opioid and pronociceptive actions of CCK have a common underlying mechanism. We showed p...

Descending controls originating in part from the rostral ventromedial medulla (RVM) regulate the excitability of dorsal horn neurons and maintain peripheral pain states. Activation of extracellular signal regulated kinase (ERK) in RVM neurons has been shown following peripheral inflammation and is involved in generating the accompanying inflammatory hyperalgesia. Here, we show that spared nerve...

this paper presents numerical calculations for podded propulsion system using vortex theory and potential panel method. the method discretizes the surface boundary of the body (propeller +pod+strut) and obtained the vortex and propeller surface and potential on strut and pod. a model propeller and strut are considered for these calculations and the results of pressure distribution, flow field a...

By fitting the classical Rotating Vector Model (RVM) to high quality polarization data for selected radio pulsars, we find the inclination of the magnetic axis to the spin axis, α, as well as the minimum angle between the line of sight and the magnetic axis, β, for ten objects. We give a full treatment of statistical errors in the fitting process. We also present a dictionary and conversion tab...