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twin

  • Bi-density twin support vector machines

    In this paper we present a classifier called bi-density twin support vector machines (BDTWSVMs) for data classification. In the training stage, BDTWSVMs first compute the relative density degrees for all training points using the intra-class graph whose weights are determined by a local scaling heuristic strategy, then optimize a pair of nonparallel hyperplanes through two smaller sized support vector machine (SVM)-typed problems. In the prediction stage, BDTWSVMs assign to the class label depending on the kernel density degree-based distances from each test point to the two hyperplanes. BDTWSVMs not only inherit good properties from twin support vector machines (TWSVMs) but also give good description for data points. The experimental results on toy as well as publicly available datasets indicate that BDTWSVMs compare favorably with classical SVMs and TWSVMs in terms of generalization

    標(biāo)簽： recognition Bi-density machines support pattern vector twin for

    上傳時(shí)間： 2019-06-09

    上傳用戶：lyaiqing

  • SN65LBC170,SN75LBC170,pdf(TRIP

    The SN65LBC170 and SN75LBC170 aremonolithic integrated circuits designed forbidirectional data communication on multipointbus-transmission lines. Potential applicationsinclude serial or parallel data transmission, cabledperipheral buses with twin axial, ribbon, ortwisted-pair cabling. These devices are suitablefor FAST-20 SCSI and can transmit or receivedata pulses as short as 25 ns, with skew lessthan 3 ns.These devices combine three 3-state differentialline drivers and three differential input linereceivers, all of which operate from a single 5-Vpower supply.The driver differential outputs and the receiverdifferential inputs are connected internally to formthree differential input/output (I/O) bus ports thatare designed to offer minimum loading to the buswhenever the driver is disabled or VCC = 0. Theseports feature a wide common-mode voltage rangemaking the device suitable for party-lineapplications over long cable runs.

    標(biāo)簽： 170 LBC SN TRIP

    上傳時(shí)間： 2013-10-13

    上傳用戶：ytulpx

  • Real-time Control Applications for use with MATLABâ · Digital Servo Workshop · Digital Pendu

    Real-time Control Applications for use with MATLABâ · Digital Servo Workshop · Digital Pendulum Control System · Modular Servo Workshop · Magnetic Levitation System · twin Rotor MIMO System

    標(biāo)簽： Digital Applications Real-time Workshop

    上傳時(shí)間： 2013-12-01

    上傳用戶：yuchunhai1990

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