Tuning the selection for other modes
Consistent Selection of Tuning Parameters via Variable Selection Stability
... a tuning parameter selection criterion based on variable selection ...variable selection method should yield similar sets of informative variables that do not vary much from one sample to ...
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Tuning variable selection procedures by adding noise
... variable selection methods for linear regression depend critically on tuning parameters that control the performance of the method, ...backward selection. However, most methods do not adapt the ...
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Variable Selection and Parameter Tuning in High-Dimensional Prediction
... The tendency of V1 to less complex models may be artificially enhanced by our convention that, if the lowest internal CV error rate is obtained with several parameter values, the least complex model is selected. Indeed, ...
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Tuning Parameter Selection in L1 Regularized Logistic Regression
... called tuning parameter. Since the tuning parameter affects the coefficients estimation and variable selection, we want to find the optimal value for the tuning parameter to get the most ...
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Hyperparameter Tuning in Bandit-Based Adaptive Operator Selection
... operator selection while autotuning parallel computer ...during tuning is either largely static in one scenario or dynamic in ...operator selection to dy- namically generate worthy test ...
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The selection of entry modes when penetrating a foreign market
... entry modes from a manufacturing perspective is extensive and therefore this research deals with the entry modes from a service ...the selection of entry modes from a service institutes ...
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Diffraction Radiation Oscillator with Frequency Tuning on Mutual Coupled Modes in an Open Resonant System
... frequency tuning on mutual coupled modes in its open resonant system were ...coupled modes T EM 002 ↔ T EM 101 , which arise in the open resonant system with the shift between mirrors symmetry ...
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Grammatical Error Correction Using Feature Selection and Confidence Tuning
... Meanwhile, the predicted result is largely af- fected by the threshold setting of a classifier which can easily lead to low performance but hasn’t been well developed yet. To address these problems, we employ genetic ...
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Robust Principal Component Analysis with Adaptive Selection for Tuning Parameters
... the tuning parameters are the inverse temperature and saturation value parameters, as will be discussed in ...the tuning parameter set makes a delicate trade between loss of information and degree of ...
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Activity modes selection for project crashing through deterministic simulation
... activity modes selection problem in the project ...activity modes selection ...activity modes selection problem for project ...
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Thinking Sortition : Modes of selection, deliberative frameworks and democratic principles
... three other selection modes: election, nomination and ...of selection producing a specific form, a humility-legitimacy when the three other selection modes are producing a ...
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Transductive Data Selection Algorithms for Fine Tuning Neural Machine Translation
... The remainder of this paper is structured as fol- lows. In Section 2, we state the research ques- tions that we want to investigate. Section 3 con- tains some insights of other works that are related to this and ...
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Consistent tuning parameter selection in high dimensional sparse linear regression
... variable selection methods is impractical in high dimensional statistical ...variable selection, various forms of penalized estimators with good statistical and computational properties, have been proposed ...
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Transductive data-selection algorithms for fine-tuning neural machine translation
... Dublin City University, Dublin, Ireland {firstname.lastname}@adaptcentre.ie Abstract Machine Translation models are trained to translate a variety of documents from one language into another. However, models specifically ...
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Efficient tuning parameter selection by cross-validated score in high dimensional models
... D NA microarray data provide measurements of the expression levels of thousands of genes with relatively small samples. Classification and regression models play an important role in constructing statistical models to ...
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Application of an Optimal Tuner Selection Approach for On-Board Self-Tuning Engine Models
... model tuning para- meter vector of appropriate dimension to enable estimation by a Kalman filter, while minimizing the estimation error in the parameters of ...tuner selection approach applied to minimize ...
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Tuning Parameter Selection in Cox Proportional Hazards Model with a Diverging Number of Parameters
... the overall survival. In this analysis we use the breast invasive carcinoma dataset that contains the mRNA expression data from 816 cancer patients (Ciriello et al., 2015). There are 119 death events, corresponding to a ...
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Fixation of Advantageous Alleles in Partially Self-Fertilizing Populations: The Effect of Different Selection Modes
... viability selection. ual selection—have been compared for an advanta- geous allele in a mixed mating ...different selection modes were calculated selection on hermaphroditic plants ...
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Oscillatory modes of quarks in baryons for 3 quark flavors u,d,s - Tuning to harmonic numbers of oscimodes of baryons
... B. Tuning to harmonic numbers of oscimodes of baryons ...’oscillatory modes of light quark flavors in baryons’, presented in ...oscillatory modes, as outlined in extenso in ...
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Internationalization of businesses and selection of entry modes in other markets
... As a research methodology for collecting initial data, a structured questionnaire is used with 28 variables as factors which influence decision making of the modes of entry into the foreign market. A statistical ...
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