Probabilistic Relational Models (PRMs Getoorr et al., 2002 ) and their extension ProBic (Van den Bulcke, 2009 ) are fully generative models that combine probabilistic modeling and relational logic.
Recently developed hybrid models that combine different machine learning techniques have shown promising results.
Groundwater management models that combine optimization methods with coupled stream/aquifer simulation models are considered.
Nomograms are statistical models that combine variables to obtain the most accurate and reliable prediction for a particular risk.
In particular, the model's estimates of the uncertainty is based in part on the historical performance of models that combine both polling and economic data, as ours does.
The approach involves building PLS (partial least squares) models that combine raw material attributes and tablet process parameters and relate these to final tablet attributes.
One of the goals of this paper is to develop mesoscopic models that combine the preciseness of micro-models while requiring only little more information than macro-models.
Some digital therapeutics providers will offer pay-for-performance contracts, others may have lump sum or per-member-per-month fees, and some may have hybrid models that combine fixed fees and performance bonuses.
Housing, for example, is one of several traditional military functions being replaced by business models that combine DoD's scale and predictability with the quality and efficiency of the private sector.
There are no published mathematical models that combine the dynamics of the returned fluid flow to the active mud pit (top side drilling) and the dynamics of the bottom side of the well being drilled.
The methods tested include nonlinear regressions, neural networks, frequency domain algorithms, GARCH models (which utilize the residual variance), state transition models, and models that combine elements of several techniques.
