Bayesian text classifiers face a common issue which is referred to as data sparsity problem, especially when the size of training data is very small. The frequently used Laplacian smoothing and corpus-based background smoothing are not effective in handling it. Instead, we propose a novel semantic smoothing method to address the sparse problem. Our method extracts explicit topic signatures (e.g...

Strategies involving smoothing of the objective function have been used to help solve difficult global optimization problems arising in molecular chemistry. This paper proposes a new smoothing approach and examines some basic issues in smoothing for molecular configuration problems. We first propose a new, simple algebraic way of smoothing the Lennard-Jones energy function, which is an importan...

The prediction of nodal electricity price (NEP) is a primary step to be done before the bidding process starts in actual market environment. NEP plays significant role for efficient working electrical system. follows common trend as during peak hours when load high will also similarly off-peak-load times lower and all node. Thus, accurate forecasting can help generation companies more proactive...

In this paper a new synthesis for circuit design of Euclidean distance calculation is presented. The circuit is implemented based on a simple two-quadrant squarer/divider block. The circuit that employs floating gate MOS (FG-MOS) transistors operating in weak inversion region, features low circuit complexity, low power (<20uW), low supply voltage (0.5V), two quadrant input current, wide dyn...

Traac reshaping and its impact on providing deter-ministic guarantees of timely data delivery in a packet-switched virtual-circuit xed-packet network are investigated. Two types of traac smoothing are considered: global reshaping (when traac on all network connections is smoothed) and local reshaping (when the traac speciication is changed only for a single connection). The conditions when resh...

Sea cucumber catch has followed “boom-and-bust” patterns over the period of 60 years from 1950-2010, and sea cucumber fisheries have had important ecological, economic and societal roles. However, sea cucumber fisheries have not been explored systematically, especially in terms of catch change trends. Sea cucumbers are relatively sedentary species. An attempt was made to explore whether the tim...

Widely used in speech and language processing, Kneser-Ney (KN) smoothing has consistently been shown to be one of the best-performing smoothing methods. However, KN smoothing assumes integer counts, limiting its potential uses—for example, inside Expectation-Maximization. In this paper, we propose a generalization of KN smoothing that operates on fractional counts, or, more precisely, on distri...

Bivariate cubic L1 smoothing splines are introduced. The coefficients of a cubic L1 smoothing spline are calculated by minimizing the weighted sum of the L1 norms of second derivatives of the spline and the 1 norm of the residuals of the data-fitting equations. Cubic L1 smoothing splines are compared with conventional cubic smoothing splines based on the L2 and 2 norms. Computational results fo...

Smoothing space curves has several applications in reverse engineering, CAD modeling and animation. We propose a 3D curve smoothing algorithm with the primary focus on smoothing boundaries of point clouds obtained during reverse engineering laser scanned models. While several point cloud denoising methods exist that handle the normal noise in the data, the boundary curve may still contain tange...