Determining the Basis Functions: Subset Selection
Regularization and Look-Ahead Procedures for Selection of Basis Functions from Multiple Libraries
... candidate basis functions when performing forward ...single basis function from each library, but also a second basis function among all the bases that have not yet been selected, to form a ...
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Feature subset selection problem on microarray data
... representing the whole instance set. After detecting frequent item sets in the partitions of the instance set, supports for these items are computed through the whole instance set by determining the intersection ...
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Subset Selection from Large Datasets for Kriging Modeling
... uniform subset of n 1 ...resulting subset. Determining this possible influence and a suitable method for selecting these values thus remain topics for further ...
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A methodology for determining an effective subset of heuristics in selection hyper-heuristics
... Operator selection We borrow ideas from adaptive operator selection (AOS) in evolutionary algorithms [17, ...A selection rule, which defines how the next operator or low-lever heuristic to be applied ...
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Subset selection in dimension reduction methods
... Several methods are available for estimating the central subspace, including Sliced Inverse Regression (SIR) (Li, 1991) and Sliced Average Variance Estimation (SAVE) (Cook and Weisberg, 1991). SIR gains information on S ...
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Distributed Column Subset Selection on MapReduce
... A MapReduce job is executed in two phases of user- defined data transformation functions, namely, map and reduce phases. The input data is split into physical blocks distributed among the nodes. Each block is ...
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Model-Based Feature Selection Based on Radial Basis Functions and Information Measures
... feature selection method is presented, based on a Radial-Basis- Function Neural-Fuzzy modelling ...feature selection task in terms of correctly identifying important process ...
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Energy based approach for shape parameter selection in radial basis functions collocation method
... parameter selection in radial basis function is ...the basis of physical considerations relative to the problem to be ...radial basis functions collocation method with different choices ...
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Maximum Volume Subset Selection for Anchored Boxes
... 27 G. L. Nemhauser, L. A. Wolsey, and M. L. Fisher. An analysis of approximations for maxi- mizing submodular set functions – I. Mathematical Programming, 14(1):265–294, 1978. 28 G. Rote, K. Buchin, K. Bringmann, ...
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Variable selection with stepwise and best subset approaches
... purposeful selection is performed partly by software and partly by hand, the stepwise and best subset approaches are automatically performed by ...R functions stepAIC() and bestglm() are well ...
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Approximate Submodularity and its Applications: Subset Selection, Sparse Approximation and Dictionary Selection
... of basis func- tions for sparse representation of signals has several applications in machine learning and signal ...dictionary selection can perform well in many instances, and proved additive ...
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Selection on the basis of prior testing
... 1 Introduction Impulse saturation (Hendry, Johansen and Santos, 2007) is a major recent de- velopment in model selection. It entails the possibility of testing an individual impulse indicator for each observation ...
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Feature subset selection and ranking for data dimensionality reduction
... complete data providing that capturing the data structure is the prime objective. In Fig.1(a), both of the first two principal components (PC’s) are functions of all the 19 variables, whilst in Fig.1(b) the first ...
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Bootstrap based model selection in subset polynomial regression
... The subset polynomial regression model is a polynomial regression in which some regression coefficients have a zero ...the subset selection approach and the adaptive basis function ...
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Optimal Features Subset Selection and Classification for Iris Recognition
... Matchingerrorrate(%) (b) Figure 11: Selection of optimal number of pixels to be increased to obtain the collarette boundary for (a) ICE and (b) CASIA datasets. class label to a small number of selected candidates. ...
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Com- putational Subset Model Selection Algorithms and Applications
... natural selection and ...feature selection when the dimensionality of the initial feature set is ...optimal subset Vector Autoregressive (VAR) model. Choosing an optimal subset VAR model has ...
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Pareto Optimization for Subset Selection with Dynamic Cost Constraints
... Many real-world problems can be modeled as submodu- lar functions and have problems with dynamically changing constraints. We have contributed to the area of submodular optimization with dynamic constraints. Key ...
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Subset Selection in Regression Analysis
... the subset selection, nn-garrote, and ridge collections, the differences in accuracy between the three procedures are sharply ...Thus, subset-selection accuracy is severely affected by the ...
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basis functions
... Quoc Thong Le Gia 1 William McLean 2 (Received 27 January 2011; revised 20 April 2011) Abstract We propose a method to construct numerical solutions of a parabolic equation on the unit sphere. The time discretisation ...
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Parallel Pareto Optimization for Subset Selection
... Abstract Subset selection that selects a few variables from a large set is a fundamental problem in many ar- ...for Subset Selection (POSS) method is a power- ful approximation solver for this ...
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