Abstract The method of stable random projections is popular in data stream computations, data mining, information retrieval, and machine learning, for efficiently computing the lα (0 < α ≤ 2) distances using a small (memory) space, in one pass of the data. We propose algorithms based on (1) the geometric mean estimator, for all 0 < α ≤ 2, and (2) the harmonic mean estimator, only for small α (e...

designing an effective criterion for selecting the best rule is a major problem in theprocess of implementing fuzzy learning classifier (flc) systems. conventionally confidenceand support or combined measures of these are used as criteria for fuzzy rule evaluation. in thispaper new entities namely precision and recall from the field of information retrieval (ir)systems is adapted as alternative...

The multikernel least mean square (MKLMS) algorithm is a classical of adaptive filters due to its simplicity. However, the linear growth network structure main challenge MKLMS. To address this issue, novel multiple random features (MRFLMS) proposed by approximating Gaussian kernels with method. In addition, combined weight transfer strategy adopted in MRFLMS develop another (CMRFLMS) alleviate ...

A family of the spread harmonic measures is naturally generated by partially reflected Brownian motion. Their relation to the mixed boundary value problem makes them important to characterize the transfer capacity of irregular interfaces in Laplacian transport processes. This family presents a continuous transition between the harmonic measure (Dirichlet condition) and the Hausdorff measure (Ne...

This study is concerned to check the validity and applicability of a five parameter viscoelastic model for harmonic wave propagating in the non-homogeneous viscoelastic rods of varying density. The constitutive relation for five parameter model is first developed and validity of these relations is checked. The non-homogeneous viscoelastic rods are assumed to be initially unstressed and at rest....

A condition based preventive and corrective maintenance policy is proposed for a continuously operating system. The condition of the system is assumed to deteriorate with time. The model incorporates both deterioration as well as random common cause failures. The deterioration stages are modeled as discrete state processes. The system is put to random inspection to know the condition. The mean ...

There are many information and divergence measures exist in the literature on information theory and statistics. The most famous among them are Kullback-Leibler [13] relative information and Jeffreys [12] Jdivergence. Sibson [17] Jensen-Shannon divergence has also found its applications in the literature. The author [20] studied a new divergence measures based on arithmetic and geometric means....