multi-class
A pragmatic approach to multi-class classification
... V. D ISCUSSION AND O UTLOOK In this article, we present a multi-class classification scheme that is intended to be useful in practical applications. As it does not make explicit assumptions about the nature ...
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Dynamic fluid-based scheduling in a multi-class abandonment queue
... The approach of using the fluid model to find an approximation for the stochastic model finds its roots in the pioneering works by Avram et al. [ 23 ] and Weiss [ 24 ]. It is remarkable that in some cases the optimal ...
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Improved Partition Trees for Multi-Class Segmentation of Remote Sensing Images
... for multi-class segmentation of remote sensing ...the multi- class segmentation problem as an energy minimization task and solve it by using ...pervised class-specific information to ...
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Non-Stationary Brain Source Separation for Multi-Class Motor Imagery
... b) Multi-Class Spatial Filtering: More generally, we once again proved that linear spatial filtering is of great interest to improve BCI classification ...to multi- class ...considering ...
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The effective use of the DSmT for multi-class classification
... for multi-class classification in conjunction with the SVM-OAA implementation, which allows offering two advantages: firstly, it allows modeling the partial ignorance by including the complementary classes ...
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Sojourn time approximations in a multi-class time-sharing server
... a multi-class time-sharing discipline with relative priorities known as Discriminatory Processor Sharing (DPS), which provides a natural framework to model service differentiation in ...
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Nested Dichotomies with probability sets for multi-class classification
... 5 Experiments In this section, our method is tested on 14 datasets of the UCI ma- chine learning repository [2], whose details are given in Table 1. As base classifiers, we use the common naive Bayes classifier (NBC) and ...
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Multi-Class Least Squares Classification at Binary-Classification Complexity
... Multi-class classification methods can be roughly divided into two categories. The first one consists of a single ma- chine strategy, where a single optimization problem is solved in order to determine the ...
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SCUT: multi-class imbalanced data classification using SMOTE and cluster-based undersampling
... minority class is oversampled by generating “synthetic” examples (Chawla ...a multi-class setting where there are a number of minority classes with very few ...a multi-class setting, ...
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High-order Finite Volume WENO schemes for non-local multi-class traffic flow models
... [3] P. Buchm¨ uller and C. Helzel. Improved accuracy of high-order weno finite volume methods on cartesian grids. Journal of Scientific Computing, 61(2):343–368, 2014. [4] C. Chalons, P. Goatin, and L. M. Villada. ...
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Interpolation approximations for the steady-state distribution in multi-class resource-sharing systems
... intra-class scheduling discipline under RP can be any non-anticipating policy, e.g. First Come First Served (FCFS), Last Come First Served (LCFS), or Random Order of Service (ROS). Both DPS and RP are versatile ...
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Optimal policy for multi-class scheduling in a single server queue
... a multi-class M/G/1 ...one class it is known that in this case the LAS policy is opti- ...the multi-class case the optimal policy is a priority discipline, where jobs of the various ...
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Lagrangian-Antidiffusive Remap schemes for non-local multi-class traffic flow models
... a multi-class extension of the one-dimensional scalar conservation law with non-local flux proposed in [3, ...“local” multi-population model for traffic flow described in ...in ...
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Adaptive multi-class Bayesian sparse regression - An application to brain activity classification
... a multi-class regularization approach that includes adaptative ridge and automatic relevance determination as limit case; the ensuing problem of optimizing the number of classes is easily dealt with in teh ...
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Subject-specific time-frequency selection for multi-class motor imagery-based BCIs using few Laplacian EEG channels
... the multi-class classification and to reduce the required EEG channel in motor imagery-based BCI by subject-specific time-frequency ...for multi-class ...dard multi-class BCI ...
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Probabilistic Decision Trees using SVM for Multi-class Classification
... a multi-class context, it is thus in principle possible to build the confidence index that we need while keeping the demonstrated performances of hard ...the multi-class probabilistic ...
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Boosting Kernel Combination for multi-class image categorization
... design multi- class kernel functions based on an iterative combination of weak kernels in a scheme inspired from boosting ...each class are optimally lo- ...
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Call admission algorithms in multi-service and multi-class ATM Network
... ABSTRACT The introduction of new ATM service categories increases the benefits of ATM, making the technology suitable for a virtually unlimited range of applications. Connection Admission Control (CAC) is defined as the ...
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Ranking Multi-Class Data: Optimality and Pairwise Aggregation
... and class distribution estimation, presents a significant challenge to statisticians, precisely because of the nature of the object to guess, a preorder on the ensemble of possible ...ordinal ...
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Non-local multi-class traffic flow models
... a multi-class version of the one dimensional scalar conservation law with non-local flux proposed in [4], where ρ i is the density of vehicles belonging to the i-th class, η i is proportional to the ...
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