[PDF] Top 20 A robust learning algorithm for evolving first-order Takagi-Sugeno fuzzy classifiers
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A robust learning algorithm for evolving first-order Takagi-Sugeno fuzzy classifiers
... has a good performance at the beginning of the learning, but as we mentioned in section 2, at the price of creating so many prototypes in the system, for instance, there are 90 fuzzy ... Voir le document complet
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Improving Premise Structure in Evolving Takagi-Sugeno Neuro-Fuzzy Classifiers
... incremental learning algorithm, the training set is not available a priori, since the learning examples come over ...online learning systems can continuously update and improve their ... Voir le document complet
7
ILClass: Error-Driven Antecedent Learning For Evolving Takagi-Sugeno Classification Systems
... Keywords: Evolving fuzzy classifiers, Online learning, Takagi-Sugeno, Classification ...represent a very active topic in machine ...become a basic tool for ... Voir le document complet
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Learning rule sets and Sugeno integrals for monotonic classification problems
... remark for monotonic classifiers is that they can be viewed as aggregation functions [36], provided that any object having the worst ...sense. A notewor- thy class of discrete aggregation functions ... Voir le document complet
57
Introduction to Conformal Predictors Based on Fuzzy Logic Classifiers
... equation for the non conformity score is chosen, fuzzy logic classifiers can be a good basis on which to build conformal ...to a simple conformal predictor based on the nearest ... Voir le document complet
11
Proof Normalization for a First-order Formulation of Higher-order Logic
... Unit´e de recherche INRIA Lorraine, Technopˆole de Nancy-Brabois, Campus scientifique, ` NANCY 615 rue du Jardin Botanique, BP 101, 54600 VILLERS LES Unit´e de recherche INRIA Rennes, Ir[r] ... Voir le document complet
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A scalable learning algorithm for Kernel Probabilistic Classifier
... learn a set of kernel functions as in this other ker- nel ...points. First, we constrain the parameters of the kernels in order to have the sum of the prob- abilities equal to ...through a ... Voir le document complet
15
Developing a Robust Self Evaluation Framework for Active Learning: The First Stage of an Erasmus+ Project (QAEMarketPlace4HEI) .
... would a different grouping be more logical for you? The form and operation of the Marketplace, along with the development of the Self Evaluation Framework, will be the subject of future ...active ... Voir le document complet
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Techniques avancées de commande, d’observation et de diagnostic robustes dédiées à la machine synchrone basée sur le modèle Takagi-Sugeno
... 2.1.3. Stable controller design via iterative procedure ……………………………… 18 2.2. Fuzzy observer design ……………………………………………………………. 19 2.2.1. Fuzzy observer ………………………………………………………………... 20 2.3. Designs of observers ... Voir le document complet
5
Analyse et synthèse d’un retour d’état par l’approche du modèle de Takagi –Sugeno dédié à la machine à courant continu
... type Takagi-Sugeno (T-S) : Les modèles flous de type Takagi-Sugeno sont représentés dans l’espace d’état par des règles floues de type « Si –Alors ...linéaires). A titre d’exemple, ce ... Voir le document complet
86
Discriminative vs. Generative Classifiers for Cost Sensitive Learning
... fitting a sigmoid is, itself, a form of ...shows a large difference in expected ...on a balanced data set, the black curves in Figure 6, considerable improvement is ...gained. For, ... Voir le document complet
14
Fuzzy k-NN Based Classifiers for Time Series with Soft Labels
... of a time series according to a set of already classified ...of a time series classification algorithm depends on the quality of the known ...the fuzzy k-NN introduces for labeled ... Voir le document complet
12
A Learning Algorithm for Top-Down XML Transformations
... the learning algorithm is Gold-style [15], i.e., it uses a given set of examples to infer the transducer, it could be used as core in an interactive learner in Angluin- style [1], similar to ... Voir le document complet
14
A quasi-Newton algorithm for first-odrer saddle-point location
... So the initial Hessian matrix has only positive eigenvalues and the energy function value is lower than the value at the transition state structure.. TS does not [r] ... Voir le document complet
17
A First-Order Logic Semantics for Communication-Parametric BPMN Collaborations
... produces a token from and to only one ...(2) for each node or edge x such that there is a path – that does not pass through g – from x to an unmarked incoming edge of g, there must be also a ... Voir le document complet
18
Presentation of a Game Semantics for First-Order Propositional Logic
... introduce a game semantics for a fragment of first order propositional ...introduce a diagrammatic presentation of definable strategies by the means of generators and relations: ... Voir le document complet
40
A Depth-first Search Algorithm for Computing Pseudo-closed Sets
... of a powerset 2 E and, as often with this type of constructs, their number is exponential in |E| and most of them are ...with a polynomial delay in the lectic or reverse lectic orders unless P = NP [9, 2] ... Voir le document complet
16
MAC-RANSAC: a robust algorithm for the recognition of multiple objects
... that a given object is common to sev- eral images and to estimate its pose, that is, to estimate the geometric transformation between the corresponding ...views. A classical approach to this problem is to ... Voir le document complet
9
A Robust and efficient stereo matching algorithm
... L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignemen[r] ... Voir le document complet
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A robust algorithm for template curve estimation based on manifold embedding
... In order to assess the robustness of the RME estimator, we carried out an additional simulation study generating atypical ...of a common shape between the data, hence adding complete outliers may break the ... Voir le document complet
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