leave-one-out method
Spatial Analysis Approach in Revealing the Global Sinks of Atmosphere Carbon Dioxide through “Leave One Out” Method
... “Leave One Out Method” section, from the perspective of this study, those few cases which are quantum leaped from all other ones are most probably the places where the factors of emission or ...
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LEAF: Leave-one-out Forward Selection Method for Gene Selection in DNA Microarray Data
... selection method based on forward selection called forward selection method (FSM) ...gene one-by-one and ultimately identifies a set of genes (a gene ranking) that is informative for disease ...
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Protein Function Prediction Using Neighbor Counting with Dynamic Threshold from Protein-Protein Interaction Network
... use leave-one-out method to evaluate predictions performed by both Classical Neighbor Counting (CNC) and Neighbor Counting with Dynamic Threshold method ...
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Evaluation of commonly used analysis strategies for epigenome and transcriptome wide association studies through replication of large scale population studies
... The main steps in epigenomic and transcriptomic ana- lyses often vary between studies, as shown in Fig. 1a and b, respectively. First, we compiled a base model with a single option from each step in Fig. 1a and b. These ...
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Validating the MERIS Terrestrial Chlorophyll Index (MTCI) with ground chlorophyll content data at MERIS spatial resolution
... sampling method was used to sample two key variables: LAI and chlorophyll concentration, which were combined to derive chlorophyll ...a leave-one-out method was used to estimate ...65%. ...
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Leave one out Word Alignment without Garbage Collector Effects
... carried out on the subset of alignment links that had a rare word on the source ...proposed method achieved much higher preci- sion on rare words than the other methods, but performed poorly on ...the ...
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Concentration Bounds for Unigram Language Models
... estimation method is called ...the leave-one- out method (Holden, 1996; Kearns and Ron, 1999) shows general high probability concentration bounds for the generalization ...
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A new multi resolution based method for estimating local surface roughness from point clouds
... interpolation method) performs. In one round of cross-validation, a subset (validation dataset) of original data is held out and a model is fitted to the remaining data (training ...carried ...
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Proposing a New Method to Improve Feature Selection with Meta Heuristic Algorithm and Chaos Theory
... on one new binary particle swarm optimization and chaos inertia weight and use the K- nearest neighbor (K-NN) method with leave-one-out cross- validation as a classifier for evaluating ...
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Determining optimal neighborhood size for ecological studies using leave-one-out cross validation
... i out of the ...the leave-one-out cross validation with mean squared difference statistics to determine optimal neighborhood for aggregating indi- vidual level data on vaccine ...The ...
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QSAR STUDY OF INDANE-URIEDO-THIOISOBUTYRIC ACIDS AS A PPARα AGONISTS
... by leave one out (LOO) cross validation method and test and training set method, which furnished squared cross correlation co-efficient (r 2 or q 2 ), standard error of squared ...
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Bayesian Leave-One-Out Cross-Validation Approximations for Gaussian Latent Variable Models
... use one common length ...Laplace method is implemented as described in Vanhatalo et ...Laplace-EM method for Student’s t model is implemented as described in Vanhatalo et ...
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Construction of RBF classifiers with tunable units using orthogonal forward selection based on leave one out misclassification rate
... Motivations o How good a RBF classifier method: P Generalisation performance P Sparsity level or classifier’s size P Efficiency of classifier construction process o Combine best of both [r] ...
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Serum protein profiling using an aptamer array predicts clinical outcomes of stage IIA colon cancer: A leave-one-out cross- validation
... Our method included several stages: amplification of aptamers in the serum molecule- aptamer complexes obtained from reaction of the serum and serum molecule-binding aptamer pools using PCR and marking the ...
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Semiparametric penalty function method in partially linear model selection
... semiparametric leave– more–out cross–validation selection procedure for the choice of both the parametric and nonparametric regressors in a nonlinear time series regression ...function method ...
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Fast kernel classifier construction using orthogonal forward selection to minimise leave one out misclassification rate
... proposed method extends the OFS procedure for regression in [12,13] to the classification problem by using the LOO misclassification rate, the true generalisation capability of a classifier, for model ...
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Craniofacial Dimorphism in Young Jordanian Adults
... the method suggested by Peter Sanchez, 1974 [22]. This method adjusted the groups’ sizes beforehand and therefore permitted effective application of the proportional chance criterion under a wider range of ...
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Sparse kernel density construction using orthogonal forward regression with leave one out test score and local regularization
... SDC method inherits these crucial advan- tages. Compared with the SVM method, our SDC algorithm is simpler to implement and has no critical algorithm param- eter that needs to be specified by the ...SVM ...
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Stability of Randomized Learning Algorithms
... the leave-one-out and expected error of such algorithms that depend on their random ...learning method and to prove non-asymptotic bounds on the predictive performance of bagging which have ...
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Leave One Out Phrase Model Training for Large Scale Deployment
... Training the phrase table by force-aligning (FA) the training data with the reference trans- lation has been shown to improve the phrasal translation quality while significantly reduc- ing the phrase table size on medium ...
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