Numbers and colours denote the probability that the data generated with model X (x-axis) are best fit by model Y (y-axis). Selection probabilities were calculated using AIC for model selection. (A) Confusability matrix for core models using a representative model from each model class. (B) Confusability matrix for models used to compare parameter settings across modalities.</p
AIC model selection table and associated coefficients for golden-crowned kinglet 2013 for all models...
AIC model selection table and associated coefficients for golden-crowned kinglet 2012 for all models...
<p>X-axis indicates amount of latency variation. Y-axis indicates proportion correct model selection...
Rows represent the datasets in which the given model was best-fitting and each column within a row i...
Rows represent generative models and each column within a row indicates the probability that a datas...
<p>The AIC is calculated using , where is the number of parameters and is the maximum likelihood f...
<p>Models selected by various statistical methods. Columns are individual response variables. All mo...
Fig A. Model Recovery for Core Models. Fig B. Model Recovery for Models Used To Compare Parameter Se...
(a) Recovery rates across families. Rows represent true models/families (used to simulate data), and...
Model Selection 2 Quantitative methods used to compare the performance of mathematical models of c...
In this brief, the image restoration problem is approached as a learning system problem, in which a ...
Each model corresponds to a different mapping from a measurement and uncertainty level to a category...
Model performance assessment given different sparsity distributions. Quantity of missing data varied...
AIC model selection table and associated coefficients for dark-eyed (Oregon) junco 2013 for all mode...
AIC model selection table and associated coefficients for dark-eyed (Oregon) junco 2012 for all mode...
AIC model selection table and associated coefficients for golden-crowned kinglet 2013 for all models...
AIC model selection table and associated coefficients for golden-crowned kinglet 2012 for all models...
<p>X-axis indicates amount of latency variation. Y-axis indicates proportion correct model selection...
Rows represent the datasets in which the given model was best-fitting and each column within a row i...
Rows represent generative models and each column within a row indicates the probability that a datas...
<p>The AIC is calculated using , where is the number of parameters and is the maximum likelihood f...
<p>Models selected by various statistical methods. Columns are individual response variables. All mo...
Fig A. Model Recovery for Core Models. Fig B. Model Recovery for Models Used To Compare Parameter Se...
(a) Recovery rates across families. Rows represent true models/families (used to simulate data), and...
Model Selection 2 Quantitative methods used to compare the performance of mathematical models of c...
In this brief, the image restoration problem is approached as a learning system problem, in which a ...
Each model corresponds to a different mapping from a measurement and uncertainty level to a category...
Model performance assessment given different sparsity distributions. Quantity of missing data varied...
AIC model selection table and associated coefficients for dark-eyed (Oregon) junco 2013 for all mode...
AIC model selection table and associated coefficients for dark-eyed (Oregon) junco 2012 for all mode...
AIC model selection table and associated coefficients for golden-crowned kinglet 2013 for all models...
AIC model selection table and associated coefficients for golden-crowned kinglet 2012 for all models...
<p>X-axis indicates amount of latency variation. Y-axis indicates proportion correct model selection...