model order selection algorithm
Model structure selection using an integrated forward orthogonal search algorithm interfered with squared correlation and mutual information
... approximation, model structure selection often involves a great number of candidate model terms or basis ...the model. It is known that inclusion of insignificant or redundant model ...
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An Overview of the Algorithm Selection Problem
... modeling, and post-processing techniques as operators and returns all valid plans (sequences of operations) that are possible for the given problem. This system contains an ontology of operators (which serve as its meta- ...
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Model Order Selection for Short Data: An Exponential Fitting Test (EFT)
... the model order if poorly selected. As classical model order selection methods fail when the number of snapshots available is small, this paper proposes a method for noncoherent ...
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Life Time Maximization in DOA Protocol for Mobile Ad-Hoc Networks
... In order to further optimize the LEACH algorithm, an optimal energy efficient cluster-heads selection algorithm LEACH-G protocol has been used to calculate the optimal number of cluster heads ...
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Model and Algorithm Selection in Statistical Learning and Optimization.
... a model-based approach. Sec. 3 discusses feature selection in the domain of music ...group selection to a group lasso approach in order to investigate which groups of features are most helpful ...
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Hybrid Electromagnetism-Like Algorithm for Supplier Selection in Make-to-Order Planning
... supplier selection research can be catego- rized, based on solution ...supplier selection model under stochastic demand ...supplier selection model that considers quality (in terms of ...
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A Kernel Multiple Change-point Algorithm via Model Selection
... First, some two-sample (or homogeneity) tests based on kernels have been suggested. They tackle a simpler problem than the general change-point problem described in Section 2. Among them, Gretton et al. (2012a) propose a ...
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Multi objective model selection algorithm for online sequential ultimate learning machine
... In order to solve the above problems, this paper proposes a multi-objective model selection algorithm based on feed- back compensation and adaptive equalization ...equalization model of ...
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Integrating AHP and Genetic Algorithm Model Adopted for Personal Selection
... AHP is a Multi-Attribute Decision-Making (MADM) model proposed by Saaty (1980). Given its advantages of integral structure, simple theory, and ease-of-operation, this method is often used in decision making when ...
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An adaptive turbo-shaft engine modeling method based on PS and MRR-LSSVR algorithms
... In order to establish an adaptive turbo-shaft engine model with high accuracy, a new modeling method based on parameter selection (PS) algorithm and multi-input multi-output recur- sive ...
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New algorithm for mode shape estimation based on ambient signals considering model order selection
... optimal model order, and the auto regressive moving averaging models are built based on ambient data, then the low-frequency oscillation modal frequency and damping ratio are ...
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Mixture Model Clustering Using Variable Data Segmentation and Model Selection: A Case Study of Genetic Algorithm
... genetic algorithm for mixture model clustering based on variable data segmentation and model selection was developed and performed on Ruspini data ...genetic algorithm, we calculated ...
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Multi-dimensional model order selection
... parameter of the CFP-MOS algorithm, can be chosen between 2 and T. Similar to the Threshold Core Consis- tency Analysis (T-CORCONDIA) in [4], the CFP-MOS requires weights Δ (P), otherwise the Probabilities of cor- ...
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Classification and Selection of Prototyping Activities for Interaction Design
... the selection of the best activities, given the design ...a selection algorithm to choose the best ones in an automatic ...an algorithm for the selection of the best activities, chosen ...
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A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design
... fitting, model selection, sample selection (active learning), hyperparameter optimization, and distributed computing in order to empower a domain expert to efficiently generate an accurate ...
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Collaboration-Type Identification in Educational Datasets
... Identifying collaboration between learners in a course is an important challenge in education for two reasons: First, depending on the courses’ rules, collaboration can be considered a form of cheating. Second, it helps ...
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Towards an Efficient Implementation of Human Activity Recognition for Mobile Devices
... RFE algorithm found the gravity signals to be more relevant followed by body acceleration ...computational model is demanding, performance can be affected if the amount of ...
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Effective user selection algorithm for quantized precoding in massive MIMO
... user selection algorithms have been proposed for downlink MU- MIMO system and the basic principle is to maximize the total throughput of the paired ...user selection algorithms are studied in ...user ...
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Study the Effects of Multilevel Selection in Multi-Population Cultural Algorithm
... evolutionary algorithm based on a new computational multilevel selection framework to successfully search multiple coadaptive subcomponents in a ...proposed algorithm constructs cooperative solutions ...
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Efficient Web Service Retrieval Using Adaptive Genetic Algorithm
... The major benefit of web service composition is the mastering of complexity. The motivation behind the choice of services is the major concern to be taken into consideration when updating a procedure by altering the ...
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