A new lightweight method for security risk assessment based on fuzzy cognitive maps
A new method based on least-squares support vector regression for solving optimal control problems
In this paper, a new application of the Least Squares Support Vector Regression (LS-SVR) with Legendre basis functions as mapping functions to a higher dimensional future space is considered for solving optimal control problems. At the final stage of LS-SVR, an optimization problem is formulated and solved using Maple optimization packages. The accuracy of the method are illustrated through numerical examples, including nonlinear optimal control problems. The results demonstrate that the proposed...
A New Method for Computing Polynomial Greatest Common Divisors and Polynomial Remainder Sequences.
A new method for web site protection and compression.
A new model of combinatorial probability
A new modeling and solution approach for the number partitioning problem.
A new possibility in bi-directional search
A new practical linear space algorithm for the longest common subsequence problem
This paper deals with a new practical method for solving the longest common subsequence (LCS) problem. Given two strings of lengths and , , on an alphabet of size , we first present an algorithm which determines the length of an LCS in time and space. This result has been achieved before [ric94,ric95], but our algorithm is significantly faster than previous methods. We also provide a second algorithm which generates an LCS in time while preserving the linear space bound, thus solving...
A new search model for evolutionary algorithms.
A New Technique To Compute Polygonal Schema for 2-Manifolds with Application to Null-Homotopy Detection.
A new two-variable generalization of the chromatic polynomial.
A new uncertainty-aware similarity for user-based collaborative filtering
User-based Collaborative Filtering (UBCF) is a common approach in Recommender Systems (RS). Essentially, UBCF predicts unprovided entries for the target user by selecting similar neighbors. The effectiveness of UBCF greatly depends on the selected similarity measure and the subsequent choice of neighbors. This paper presents a new Uncertainty-Aware Similarity measure "UASim" which enhances CF by accurately calculating how similar, dissimilar, and uncertain users' preferences are. Uncertainty is...
A new variational model for segmenting objects of interest from color images.
A niching scheme for steady state GA-P and its application to fuzzy rule based classifiers induction.
A new method for applying grammar based Genetic Programming to learn fuzzy rule based classifiers from examples is proposed. It will produce linguistically understandable, rule based definitions in which not all features are sent in the antecedents. A feature selection is implicit in the algorithm. Since both surface and deep structure will be learned, standard grammar based GP is not applicable to this problem. We have adapted GA-P algorithms, a method formerly defined as an hybrid between GA and...
A Noetherian and confluent rewrite system for idempotent semigroups.
A non-deteministic time hierarchy over the reals.
A non-dual signature method for the assignment problem and a generalization of the dual simplex method for the transportation problem
A Nonlinear Parabolic Model in Processing of Medical Image
The image's restoration is an essential step in medical imaging. Several Filters are developped to remove noise, the most interesting are filters who permits to denoise the image preserving semantically important structures. One class of recent adaptive denoising methods is the nonlinear Partial Differential Equations who knows currently a significant success. This work deals with mathematical study for a proposed nonlinear evolution partial differential equation for image processing. The existence...
A Non-Recursive Algorithm for Polygon Triangulation
A nonstandard modification of Dempster combination rule
It is a well-known fact that the Dempster combination rule for combination of uncertainty degrees coming from two or more sources is legitimate only if the combined empirical data, charged with uncertainty and taken as random variables, are statistically (stochastically) independent. We shall prove, however, that for a particular but large enough class of probability measures, an analogy of Dempster combination rule, preserving its extensional character but using some nonstandard and boolean-like...