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An Incremental Algorithm for Computing n-Dimensional Concepts

An Incremental Algorithm for Computing n-Dimensional Concepts

... n- concepts and n-lattices as generalisations of, respectively, concepts and ...algorithms for n > 3. Most notably, for the crucial task of computing the n-concepts of ... Voir le document complet

11

Biologically inspired incremental learning for high-dimensional spaces

Biologically inspired incremental learning for high-dimensional spaces

... propose an incremental, highly parallelizable, and constant-time complexity neural learning architecture for multi-class classification (and regression) problems that remains resource-efficient even ... Voir le document complet

7

A Depth-first Search Algorithm for Computing Pseudo-closed Sets

A Depth-first Search Algorithm for Computing Pseudo-closed Sets

... uses an incremental approach and is not necessarily limited to the lectic ...forces an enumeration in orders that extend the inclusion ...here an algorithm that can enumerate ... Voir le document complet

16

A Distributed Algorithm for Computing the Node Search Number in Trees

A Distributed Algorithm for Computing the Node Search Number in Trees

... distributed algorithm to compute the node search number, the edge search number and the proces ...the algorithm of [1], our algorithm uses a convergecast and our main contribution is the intoduction ... Voir le document complet

28

Application of an Incremental SVM Algorithm for On-line Human Recognition from Video Surveillance Using Texture and Color Features

Application of an Incremental SVM Algorithm for On-line Human Recognition from Video Surveillance Using Texture and Color Features

... that incremental SVM is suitable for large dynamic data and more efficient than batch SVMs on the computing time ...facts, an on-line model with incremental learning SVM as a solution ... Voir le document complet

11

An API for location aware computing

An API for location aware computing

... display an interactive, 3-dimensional view of MIT’s Building ...the algorithm finds the minimum-cost path from start to every reachable Space, we can begin running the algorithm as soon as the ... Voir le document complet

90

Incremental bayesian network structure learning in high dimensional domains

Incremental bayesian network structure learning in high dimensional domains

... used for BN structure learning: First, “constraint” based methods consist in detecting (in)dependencies between the variables by performing conditional independence tests on ...criticized for complex ... Voir le document complet

8

Reduction and Introducer Concepts in d-Dimensional Contexts

Reduction and Introducer Concepts in d-Dimensional Contexts

... The end result of two of those approaches – respectively reduced contexts and AOC-posets – are of interest in our work. The first is the state of the dataset in which no element can be considered redundant. The second is ... Voir le document complet

16

Experimental Evaluation of a Branch and Bound Algorithm for computing Pathwidth

Experimental Evaluation of a Branch and Bound Algorithm for computing Pathwidth

... bound algorithm for computing the pathwidth of graphs and the vertex-separation of ...rules for reducing the size of the input digraph and new cutting rules allowing for significantly ... Voir le document complet

305

A Federated Learning Aggregation Algorithm for Pervasive Computing: Evaluation and Comparison

A Federated Learning Aggregation Algorithm for Pervasive Computing: Evaluation and Comparison

... Abstract—Pervasive computing promotes the installation of connected devices in our living spaces in order to provide ...recently: an advanced use of edge resources and the integration of machine learning ... Voir le document complet

11

Experimental Evaluation of a Branch and Bound Algorithm for computing Pathwidth

Experimental Evaluation of a Branch and Bound Algorithm for computing Pathwidth

... are an important ingredient of dynamic programming algorithms for solving such ...Therefore, computing the pathwidth and associated path-decomposition of graphs has both a theoretical and practical ... Voir le document complet

305

A simple algorithm for computing Nash-equilibria in incomplete information games

A simple algorithm for computing Nash-equilibria in incomplete information games

... on an alternative notion of approximate equilibria (see Definition 2) homologous to that presented in Definition 1, we device in section 3 a simple numerically stable primal-dual algorithm ...1 for ... Voir le document complet

8

Condition number complexity of an elementary algorithm for computing a reliable solution of a conic linear system

Condition number complexity of an elementary algorithm for computing a reliable solution of a conic linear system

... We develop algorithm CLS, which is a combination of two other algorithms, namely algorithm FCLS (Feasible Conic Linear System) which is used to find a reliable solu[r] ... Voir le document complet

41

An algorithm for reporting maximal c-cliques

An algorithm for reporting maximal c-cliques

... 8 Cazals & Karande Induction : Assume condition for the hypothesis is true. In this case, in order to be reported more than once, a c-clique has to be reported once by at least two calls out of C 11 , C 12 , ... Voir le document complet

14

New Algorithm for Constructing and Computing Scale Invariants of 3D Tchebichef Moments

New Algorithm for Constructing and Computing Scale Invariants of 3D Tchebichef Moments

... investigated. For example, the invariants of Leg- endre moments have been achieved through image nor- malization method and indirect ...only for a set of binary images with small size [ 12 ... Voir le document complet

10

Research on Genetic Algorithm for Resource Scheduling in Cloud Computing Based on User Satisfaction

Research on Genetic Algorithm for Resource Scheduling in Cloud Computing Based on User Satisfaction

... cloud computing market scale reached 160 billion US dollars in 2011, of which business and office software cloud computing market scale will reach 95 billion US ...cloud computing will produce a ... Voir le document complet

6

Automatic Crack Detection on Two-Dimensional Pavement Images: An Algorithm Based on Minimal Path Selection

Automatic Crack Detection on Two-Dimensional Pavement Images: An Algorithm Based on Minimal Path Selection

... Dijkstra’s algorithm [25] and the fast marching algorithm [26], the latter being specifically suited to minimize costs involving an internal energy based on the length of the ...moderate ... Voir le document complet

13

ApproxRISC: An Approximate Computing Infrastructure For RISC-V

ApproxRISC: An Approximate Computing Infrastructure For RISC-V

... Commissariat à l’énergie atomique et aux énergies alternatives 17 rue des martyrs | F-38054 Grenoble Cedex *Établissement public à caractère industriel et commercial | RCS Paris B 775 685 019 ApproxRISC: An ... Voir le document complet

2

On computing subfields. A detailed description of the algorithm

On computing subfields. A detailed description of the algorithm

... polynomials have degree d. This means that at most d evaluations of two polynomials can coincide. If the b2 in (12) are not pairwise distinct, then each 6j is a multiple root since g is a characteristic polynomial. ... Voir le document complet

30

An algorithm for posturing computational phantoms

An algorithm for posturing computational phantoms

... our algorithm with volumes of different sizes, and the obtained results were quite similar, provided that there is enough overlap between adjacent ...our algorithm, in particular to quantify the variation ... Voir le document complet

3

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