Abstract We present a forward-modeling framework for estimating galaxy redshift distributions from photometric surveys. Our forward model is composed of: detailed population describing the intrinsic distribution of physical characteristics galaxies, encoding evolution physics; stellar synthesis connecting properties galaxies to their photometry; data characterizing observation and calibration p...

The Trust, Reputation and User Modeling (TRUM) workshop (http://madmuc.usask.ca/WS-TRUM/) pursued the following objectives: • To bring researchers together from the communities of trust and reputation modeling and user modeling; • To initiate and facilitate discussions on the new trends in trust, reputation and user modeling, and to move the trends forward; • To provide a forum for cutting-age ...

We present a fast method for modeling three-dimensional low frequency controlled source electro-magnetic (CSEM) problems. We apply the method to the marine controlled source electromagnetic (MCSEM) exploration situation where conductivity and permittivity are different from the known background medium. For 3D problems fast computational methods are relevant for both forward and inverse modeling...

an artificial neural network has been used to determine the volume flux and rejections of ca2+ , na+ and cl¯, as a function of transmembrane pressure and concentrations of ca2+, polyethyleneimine, and polyacrylic acid in water softening by nanofiltration process in presence of polyelectrolytes. the feed-forward multi-layer perceptron artificial neural network including an eight-neuron hidden la...

in this paper, first a great number of inverse problems which arise in instrumentation, in computer imaging systems and in computer vision are presented. then a common general forward modeling for them is given and the corresponding inversion problem is presented. then, after showing the inadequacy of the classical analytical and least square methods for these ill posed inverse problems, a baye...

This paper presents a new structure for adaptive predistortion of the memoryless, nonlinear saturation effects causedby High Power Amplifiers (HPA). Timely compensation for HPA distortions is critical for cost-effective prevention of the cliff effect during terrestrial transmission of digital broadcast television. The new structure results from a two-stage approach: The forward model is identif...

The forward modeling approach is a methodology for learning control when data is available in distal coordinate systems. We extend previous work by considering how this methodology can be applied to the optimization of quantities that are distal not only in space but also in time. In many learning control problems, the output variables of the controller are not the natural coordinates in which ...

Despite the fact that shape-memory alloy (SMA) has several mechanical advantages as it continues being used as an actuator in engineering applications, using it still remains as a challenge since it shows both non-linear and hysteretic behavior. To improve the efficiency of SMA application, it is required to do research not only on modeling it, but also on control hysteresis behavior of these m...