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1. Full Text Nested cross-validation based adaptive sparse representation algorithm and its application to pathological brain classification
by Dora, Lingraj and Agrawal, Sanjay and Panda, Rutuparna and Abraham, Ajith
Expert Systems With Applications, ISSN 0957-4174, 12/2018, Volume 114, pp. 313 - 321
Brain disease such as brain tumor, Alzheimer’s disease, etc. is a major public health problem, and the main cause of death worldwide. Expert systems are... 
Nested cross-validation based adaptive sparse representation algorithm | Nested cross-validation technique | Gray level co-occurrence matrix | Pathological brain classification | DIAGNOSIS | MRI | TUMOR | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | CLASSIFIERS | ENGINEERING, ELECTRICAL & ELECTRONIC | SCHEME | TEXTURE | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | IMAGES | SEGMENTATION | SUPPORT VECTOR MACHINE | Algorithms | Artificial intelligence | Brain tumors | Medical imaging equipment
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2. Full Text On Estimating Model in Feature Selection With Cross-Validation
by Qi, Chunxia and Diao, Jiandong and Qiu, Like
IEEE Access, ISSN 2169-3536, 2019, Volume 7, pp. 33454 - 33463
Both wrapper and hybrid methods in feature selection need the intervention of learning algorithm to train parameters. The preset parameters and dataset are... 
Support vector machines | Training | Correlation | Feature selection | hybrid | nested cross-validation | Training data | Approximation algorithms | cross-validation | wrapper | Classification algorithms | Kernel | REGRESSION | ERROR RATE | FILTER | BIAS | COMPUTER SCIENCE, INFORMATION SYSTEMS | TELECOMMUNICATIONS | PREDICTION | ENGINEERING, ELECTRICAL & ELECTRONIC
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3. Full Text Jackknife model averaging
by Hansen, Bruce E and Racine, Jeffrey S
Journal of Econometrics, ISSN 0304-4076, 03/2012, Volume 167, Issue 1, pp. 38 - 46
We consider the problem of obtaining appropriate weights for averaging approximate (misspecified) models for improved estimation of an unknown conditional mean... 
MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | NONPARAMETRIC REGRESSION | SOCIAL SCIENCES, MATHEMATICAL METHODS | ECONOMICS | SELECTION | GENERALIZED CROSS-VALIDATION | ASYMPTOTIC OPTIMALITY | Monte Carlo method | Analysis | Models | Heteroskedastic error | Quadratic programming | Non-nested model | Jackknife model averaging
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4. Full Text Toward more realistic drug-target interaction predictions
by Pahikkala, Tapio and Airola, Antti and Pietilä, Sami and Shakyawar, Sushil and Szwajda, Agnieszka and Tang, Jing and Aittokallio, Tero
Briefings in Bioinformatics, ISSN 1467-5463, 03/2015, Volume 16, Issue 2, pp. 325 - 337
A number of supervised machine learning models have recently been introduced for the prediction of drug-target interactions based on chemical structure and... 
Nested cross-validation | Predictive modeling | Kinase bioactivity assays | Supervisedmachine learning | Drug-target interaction | supervised machine learning | kinase bioactivity assays | INFORMATION | BIAS | BIOCHEMICAL RESEARCH METHODS | drug-target interaction | PITFALLS | MOLECULES | KERNELS | nested cross-validation | INTEGRATIVE ANALYSIS | QSAR | predictive modeling | MATHEMATICAL & COMPUTATIONAL BIOLOGY | SELECTION | SIMILARITY | Databases, Pharmaceutical - statistics & numerical data | Models, Biological | Humans | Computational Biology | Models, Statistical | Quantitative Structure-Activity Relationship | Supervised Machine Learning - statistics & numerical data | Drug Discovery - statistics & numerical data | Drugs | Enzymes | Receptors | Inhibitors | Regression | Benchmarking | Mathematical models | Kinases | Papers | drug–target interaction
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5. Full Text Statistical phylogeography: methods of evaluating and minimizing inference errors
by Templeton, Alan R
Molecular Ecology, ISSN 0962-1083, 04/2004, Volume 13, Issue 4, pp. 789 - 809
Nested clade phylogeographical analysis (NCPA) has become a common tool in intraspecific phylogeography. To evaluate the validity of its inferences, NCPA was... 
nested clade analysis | statistical inference | hypothesis testing | cross‐validation | haplotype trees | phylogeography | Haplotype trees | Hypothesis testing | Nested clade analysis | Statistical inference | Cross-validation | Phylogeography | NATURAL-POPULATIONS | BIOCHEMISTRY & MOLECULAR BIOLOGY | PATTERNS | cross-validation | MITOCHONDRIAL-DNA VARIATION | GENE FLOW | CLADISTIC-ANALYSIS | PHENOTYPIC ASSOCIATIONS | EVOLUTIONARY BIOLOGY | EVOLUTION | POPULATION-STRUCTURE | ECOLOGY | HISTORY | DNA - genetics | Geography | Haplotypes - genetics | Data Interpretation, Statistical | Likelihood Functions | Computer Simulation | Phylogeny | Research Design | Evolution, Molecular | Population Dynamics
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6. Full Text Using a spatio-temporal Bayesian approach to estimate the relative abundance index of yellow squat lobster (Cervimunida johni) off Chile
by Cavieres, Joaquin and Nicolis, Orietta
Fisheries Research, ISSN 0165-7836, 12/2018, Volume 208, pp. 97 - 104
Estimating relative abundance indexes based on spatio-temporal variations in fishing effort has been one of the greatest challenges in fisheries sciences.... 
Spatio-temporal model | Integrated nested laplace approximation | Relative abundance index | Gaussian Markov Random Field | SYSTEM | FISHERIES | MODELS | INFORMATION | CROSS-VALIDATION | INFERENCE | Markov processes | Models | Fishing | Analysis
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7. Full Text Sparse regression interaction models for spatial prediction of soil properties in 3D
by Pejović, Milutin and Nikolić, Mladen and Heuvelink, Gerard B.M and Hengl, Tomislav and Kilibarda, Milan and Bajat, Branislav
Computers and Geosciences, ISSN 0098-3004, 09/2018, Volume 118, pp. 1 - 13
An approach for using lasso (Least Absolute Shrinkage and Selection Operator) regression in creating sparse 3D models of soil properties for spatial prediction... 
Nested cross-validation | Spatial prediction | Interactions | Soil organic carbon | Lasso | STORAGE | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | GEOSCIENCES, MULTIDISCIPLINARY | ORGANIC-CARBON | CROSS-VALIDATION | SELECTION | Case studies | Soils | Models | Carbon content | Analysis
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8. Full Text Regionalization of transit time estimates in montane catchments by integrating landscape controls
by M. Hrachowitz and C. Soulsby and D. Tetzlaff and J. J. C. Dawson and I. A. Malcolm
Water Resources Research, ISSN 0043-1397, 05/2009, Volume 45, Issue 5, pp. W05421 - n/a
Mean transit time (MTT) is being increasingly used as a metric of hydrological function in intercatchment comparisons. Estimating MTT usually involves relating... 
Hydrology | general | Catchment | Geomorphology | Estimation and forecasting | Ungaged basins | chloride | runoff processes | topographic indices | transit times | tracers | landscape characteristics | WATER RESIDENCE TIMES | NESTED MESOSCALE CATCHMENT | STABLE-ISOTOPE TRACERS | UPLAND CATCHMENT | DIGITAL ELEVATION DATA | SCOTTISH CATCHMENT | WATER RESOURCES | INFORMATION-SYSTEM | ENVIRONMENTAL SCIENCES | RUNOFF GENERATION | HYDROLOGICAL PATHWAYS | CROSS-VALIDATION | LIMNOLOGY
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9. Full Text Nested clade analysis: an extensively validated method for strong phylogeographic inference
by TEMPLETON, ALAN R
Molecular Ecology, ISSN 0962-1083, 04/2008, Volume 17, Issue 8, pp. 1877 - 1880
nested clade analysis | computer simulation | cross‐validation | false positives | phylogeography | statistics | False positives | Nested clade analysis | Computer simulation | Statistics | Cross-validation | Phylogeography | POPULATION HISTORY | HUMAN-EVOLUTION | BIOCHEMISTRY & MOLECULAR BIOLOGY | cross-validation | GENE FLOW | HAPLOTYPE TREES | STATISTICAL PHYLOGEOGRAPHY | EVOLUTIONARY BIOLOGY | ECOLOGY | Geography | Phylogeny | Evolution, Molecular | Computer-generated environments | Analysis | Methods
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10. Full Text Specification, estimation and validation of a pedestrian walking behavior model
by Robin, Th and Antonini, G and Bierlaire, M and Cruz, J
Transportation Research Part B, ISSN 0191-2615, 2009, Volume 43, Issue 1, pp. 36 - 56
We propose and validate a model for pedestrian walking behavior, based on discrete choice modeling. Two main types of behavior are identified: and . By... 
Dynamic choice set | Validation | Discrete choice model | Operational level | Estimation | Pedestrian | Specification | Microscopic model | Forecast model | Behavior model | Walking | Cross-validation | Real data | Cross nested logit model | DISCRETE-CHOICE MODELS | ENGINEERING, CIVIL | EXPLORATION | TRACKING | NESTED LOGIT MODEL | TRANSPORTATION SCIENCE & TECHNOLOGY | TRANSPORTATION | PERSONAL-SPACE | INTERPERSONAL DISTANCE | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | DYNAMICS | BOUNDARY | ECONOMICS | Walking Pedestrian Operational level Microscopic model Behavior model Discrete choice model Forecast model Cross nested logit model Dynamic choice set Specification Real data Estimation Validation Cross-validation
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11. Full Text Performance assessment of a bleeding detection algorithm for endoscopic video based on classifier fusion method and exhaustive feature selection
by Deeba, Farah and Islam, Monzurul and Bui, Francis M and Wahid, Khan A
Biomedical Signal Processing and Control, ISSN 1746-8094, 02/2018, Volume 40, pp. 415 - 424
Capsule Endoscopy (CE) is a non-invasive clinical procedure that allows examination of the entire gastrointestinal tract including parts of small intestine... 
Nested cross validation | Color features | Capsule endoscopy | Automated bleeding detection | Classifier fusion | SVM score | ENGINEERING, BIOMEDICAL | Algorithms | Endoscopy | Analysis | Gastrointestinal system | Methods | Detectors
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12. Full Text GraphVar 2.0: A user-friendly toolbox for machine learning on functional connectivity measures
by Waller, L and Brovkin, A and Dorfschmidt, L and Bzdok, D and Walter, H and Kruschwitz, J.D
Journal of Neuroscience Methods, ISSN 0165-0270, 10/2018, Volume 308, pp. 21 - 33
We previously presented GraphVar as a user-friendly MATLAB toolbox for comprehensive graph analyses of functional brain connectivity. Here we introduce a... 
Functional connectivity | Linear SV | Computational neuroscience | Precision psychiatry | Graph theory | Encoding | Elastic net | Decoding | MATLAB | Nested Cross validation | Model performance | Reproducibility | Toolbox | Machine learning | RESTING-STATE FMRI | MOTION CORRECTION | BRAIN NETWORKS | PERMUTATION TESTS | REGULARIZATION | METRICS | BIOCHEMICAL RESEARCH METHODS | GLOBAL SIGNAL REGRESSION | VARIABLE SELECTION | NEUROSCIENCES | MODELS | TEST-RETEST RELIABILITY | Neurosciences | Big data | Analysis
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13. Full Text An empirical study on aggregation of alternatives and its influence on prediction in car type choice models
by Habibi, Shiva and Frejinger, Emma and Sundberg, Marcus
Transportation, ISSN 0049-4488, 2019, Volume 46, Issue 3, p. 563
Assessing and predicting car type choices are important for policy analysis. Car type choice models are often based on aggregate alternatives. This is due to... 
Maximum likelihood estimation | Bioinformatik (beräkningsbiologi) | Nested logit | Prediction | Transport Systems and Logistics | Network MEV | Discrete choice models | Cross-validation | Transportteknik och logistik | Sannolikhetsteori och statistik | Car type choice | Bioinformatics (Computational Biology) | Probability Theory and Statistics | Aggregation of alternatives
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14. Full Text ECG-Based Classification of Resuscitation Cardiac Rhythms for Retrospective Data Analysis
by Bahrami Rad, Ali and Eftestol, Trygve and Engan, Kjersti and Irusta, Unai and Kvaloy, Jan Terje and Kramer-Johansen, Jo and Wik, Lars and Katsaggelos, Aggelos K
IEEE Transactions on Biomedical Engineering, ISSN 0018-9294, 10/2017, Volume 64, Issue 10, pp. 2411 - 2418
Objective: There is a need to monitor the heart rhythm in resuscitation to improve treatment quality. Resuscitation rhythms are categorized into: ventricular... 
Algorithm design and analysis | cardiopulmonary resuscitation | Heart beat | Electric shock | nested cross-validation | Cardiac arrest | Electrocardiography | Feature extraction | cardiac rhythm classification | feature extraction/selection | COUNCIL GUIDELINES | QUALITY | CIRCULATION | ENGINEERING, BIOMEDICAL | VENTRICULAR-FIBRILLATION | ALGORITHM | CARDIOPULMONARY-RESUSCITATION | FEATURE-SELECTION | LIFE-SUPPORT | STATE TRANSITIONS | DEFIBRILLATION | Cardiopulmonary Resuscitation - methods | Reproducibility of Results | Arrhythmias, Cardiac - therapy | Humans | Therapy, Computer-Assisted - methods | Algorithms | Sensitivity and Specificity | Diagnosis, Computer-Assisted - methods | Arrhythmias, Cardiac - diagnosis | Retrospective Studies | Electrocardiography - classification | Electrocardiography - methods | Pattern Recognition, Automated - methods | Neural Networks (Computer) | Signal processing | Research | Electrocardiogram | Heart | EKG | Classifiers | Data analysis | Artificial neural networks | Back propagation | Data processing | Rhythm | Cardiopulmonary resuscitation--CPR | Ventricular fibrillation | Wavelet | Tachycardia | Annotations | Fibrillation | Decision theory | Neural networks | Classification | Hyperplanes | Ventricle | Decision trees | Regularization | Bayesian analysis | Resuscitation
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15. Full Text Multi-Level Model to Predict Antibody Response to Influenza Vaccine Using Gene Expression Interaction Network Feature Selection
by Parvandeh, S and Poland, GA and Kennedy, RB and McKinney, BA
MICROORGANISMS, ISSN 2076-2607, 03/2019, Volume 7, Issue 3, p. 79
Vaccination is an effective prevention of influenza infection. However, certain individuals develop a lower antibody response after vaccination, which may lead... 
vaccine immune response | nested cross-validation | ASSOCIATION INTERACTION NETWORK | EFFICACY | CROSS-VALIDATION | gene interaction | MICROBIOLOGY
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16. Full Text A method of integrating correlation structures for a generalized recursive route choice model
by Mai, Tien
Transportation Research Part B, ISSN 0191-2615, 11/2016, Volume 93, pp. 146 - 161
We propose a way to estimate a generalized recursive route choice model. The model generalizes other existing recursive models in the literature, i.e.,... 
Integrated network | Recursive network MEV | Maximum likelihood estimation | Contraction mapping | Cross-validation | Recursive cross-nested | Value iteration | SET | TRANSPORTATION | ENGINEERING, CIVIL | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | NESTED LOGIT MODEL | TRANSPORTATION SCIENCE & TECHNOLOGY | ECONOMICS | Recursive methods | Route selection | Networks | Correlation | Transportation networks | Mathematical models | Mapping | Estimates
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17. Full Text A nested recursive logit model for route choice analysis
by Mai, Tien and Fosgerau, Mogens and Frejinger, Emma and Centrum för transportstudier, CTS and Centra and Skolan för arkitektur och samhällsbyggnad (ABE) and KTH
Transportation Research Part B, ISSN 0191-2615, 05/2015, Volume 75, pp. 100 - 112
We propose a route choice model that relaxes the independence from irrelevant alternatives property of the logit model by allowing scale parameters to be link... 
Maximum likelihood estimation | Value iterations | Substitution patterns | Nested recursive logit | Route choice modeling | Cross-validation | TRANSPORTATION | STRUCTURAL MODELS | ENGINEERING, CIVIL | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | ALTERNATIVES | TRANSPORTATION SCIENCE & TECHNOLOGY | ECONOMICS | Nonlinear dynamics | Route selection | Networks | Logit models | Mathematical analysis | Links | Mathematical models | Dynamical systems | Samhällsbyggnadsteknik | Civil Engineering | Transport Systems and Logistics | Teknik och teknologier | Cross validation | Value iteration | maximum likelihood analysis | discrete choice analysis | transportation | Engineering and Technology | numerical model | Route choice model | Transportteknik och logistik | Maximum likelihood | Iterative methods
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18. Full Text Predicting protein function and other biomedical characteristics with heterogeneous ensembles
by Whalen, Sean and Pandey, Gaurav and Pandey, Om Prakash
Methods, ISSN 1046-2023, 01/2016, Volume 93, pp. 92 - 102
Prediction problems in biomedical sciences, including protein function prediction (PFP), are generally quite difficult. This is due in part to incomplete... 
Nested cross-validation | Ensemble calibration | Distributed machine learning | Diversity-performance tradeoff | Heterogeneous ensembles | Protein function prediction | FUSION | BIOCHEMISTRY & MOLECULAR BIOLOGY | BIOCHEMICAL RESEARCH METHODS | DIVERSITY | NETWORKS | GENETIC INTERACTIONS | Proteins - physiology | Algorithms | Forecasting | Machine Learning | Databases, Protein | Medical colleges | Usage | Information management | Analysis | Machine learning
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