Index: trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/GaussianProcess/GaussianProcessModelCreator.cs
===================================================================
--- trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/GaussianProcess/GaussianProcessModelCreator.cs	(revision 15169)
+++ trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/GaussianProcess/GaussianProcessModelCreator.cs	(revision 15187)
@@ -37,5 +37,5 @@
     private const string ModelParameterName = "Model";
     private const string NegativeLogLikelihoodParameterName = "NegativeLogLikelihood";
-    private const string NegativeLogPredictiveProbabilityParameterName = "NegativeLogPredictiveProbability (LOOCV)";
+    private const string NegativeLogPseudoLikelihoodParameterName = "NegativeLogPseudoLikelihood (LOOCV)";
     private const string HyperparameterGradientsParameterName = "HyperparameterGradients";
     protected const string ScaleInputValuesParameterName = "ScaleInputValues";
@@ -62,6 +62,6 @@
       get { return (ILookupParameter<DoubleValue>)Parameters[NegativeLogLikelihoodParameterName]; }
     }
-    public ILookupParameter<DoubleValue> NegativeLogPredictiveProbabilityParameter {
-      get { return (ILookupParameter<DoubleValue>)Parameters[NegativeLogPredictiveProbabilityParameterName]; }
+    public ILookupParameter<DoubleValue> NegativeLogPseudoLikelihoodParameter {
+      get { return (ILookupParameter<DoubleValue>)Parameters[NegativeLogPseudoLikelihoodParameterName]; }
     }
     public ILookupParameter<BoolValue> ScaleInputValuesParameter {
@@ -90,5 +90,5 @@
       Parameters.Add(new LookupParameter<RealVector>(HyperparameterGradientsParameterName, "The gradients of the hyperparameters for the produced Gaussian process model (necessary for hyperparameter optimization)"));
       Parameters.Add(new LookupParameter<DoubleValue>(NegativeLogLikelihoodParameterName, "The negative log-likelihood of the produced Gaussian process model given the data."));
-      Parameters.Add(new LookupParameter<DoubleValue>(NegativeLogPredictiveProbabilityParameterName, "The leave-one-out-cross-validation negative log predictive probability of the produced Gaussian process model given the data."));
+      Parameters.Add(new LookupParameter<DoubleValue>(NegativeLogPseudoLikelihoodParameterName, "The leave-one-out-cross-validation negative log pseudo-likelihood of the produced Gaussian process model given the data."));
 
 
@@ -105,7 +105,7 @@
         Parameters[ScaleInputValuesParameterName].Hidden = true;
       }
-      if (!Parameters.ContainsKey(NegativeLogPredictiveProbabilityParameterName)) {
-        Parameters.Add(new LookupParameter<DoubleValue>(NegativeLogPredictiveProbabilityParameterName,
-          "The leave-one-out-cross-validation negative log predictive probability of the produced Gaussian process model given the data."));
+      if (!Parameters.ContainsKey(NegativeLogPseudoLikelihoodParameterName)) {
+        Parameters.Add(new LookupParameter<DoubleValue>(NegativeLogPseudoLikelihoodParameterName,
+          "The leave-one-out-cross-validation negative log pseudo-likelihood of the produced Gaussian process model given the data."));
       }
     }
Index: trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/GaussianProcess/GaussianProcessRegressionModelCreator.cs
===================================================================
--- trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/GaussianProcess/GaussianProcessRegressionModelCreator.cs	(revision 15169)
+++ trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/GaussianProcess/GaussianProcessRegressionModelCreator.cs	(revision 15187)
@@ -65,5 +65,5 @@
         ModelParameter.ActualValue = model;
         NegativeLogLikelihoodParameter.ActualValue = new DoubleValue(model.NegativeLogLikelihood);
-        NegativeLogPredictiveProbabilityParameter.ActualValue = new DoubleValue(model.LooCvNegativeLogPseudoLikelihood);
+        NegativeLogPseudoLikelihoodParameter.ActualValue = new DoubleValue(model.LooCvNegativeLogPseudoLikelihood);
         HyperparameterGradientsParameter.ActualValue = new RealVector(model.HyperparameterGradients);
         return base.Apply();
Index: trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/Interfaces/IGaussianProcessModelCreator.cs
===================================================================
--- trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/Interfaces/IGaussianProcessModelCreator.cs	(revision 15169)
+++ trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/Interfaces/IGaussianProcessModelCreator.cs	(revision 15187)
@@ -35,5 +35,5 @@
     ILookupParameter<RealVector> HyperparameterGradientsParameter { get; }
     ILookupParameter<DoubleValue> NegativeLogLikelihoodParameter { get; }
-    ILookupParameter<DoubleValue> NegativeLogPredictiveProbabilityParameter { get; }
+    ILookupParameter<DoubleValue> NegativeLogPseudoLikelihoodParameter { get; }
   }
 }
