Results 241 to 250 of about 4,945,033 (293)
Some of the next articles are maybe not open access.
Journal of Intelligent and Robotic Systems, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kämpke, Thomas, Strobel, Matthias
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kämpke, Thomas, Strobel, Matthias
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‘Fitting nonlinear models: numerical techniques’
Biometrika, 1973SUMMARY Computational methods for fitting nonlinear models have developed considerably in the last decade. Statistical use of these techniques has, as yet, lagged somewhat behind. The present paper gives a critical review of current numerical techniques and relates these to some statistical needs.
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2003
Kauffman (1993, 1995; Kauffman and Levin 1987; Kauffman and Johnsen 1991) has proposed and studied in depth a class of models referred to as NK models, which are models of random fitness landscapes on which one can implement a variety of types of evolutionary dynamics and study the development and interaction of species.
M. E. J. Newman, R. G. Palmer
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Kauffman (1993, 1995; Kauffman and Levin 1987; Kauffman and Johnsen 1991) has proposed and studied in depth a class of models referred to as NK models, which are models of random fitness landscapes on which one can implement a variety of types of evolutionary dynamics and study the development and interaction of species.
M. E. J. Newman, R. G. Palmer
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Proceedings of the 16th international conference on Intelligent user interfaces, 2011
This demonstration illustrates a computational analysis method using information theoretic attributes to quantitatively characterize information need for task performance, as well as information conveyed by a candidate display. Once represented in this way, various computational algorithms can provide a "mismatch" analysis of the "fit" between the two.
Christopher A. Miller +2 more
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This demonstration illustrates a computational analysis method using information theoretic attributes to quantitatively characterize information need for task performance, as well as information conveyed by a candidate display. Once represented in this way, various computational algorithms can provide a "mismatch" analysis of the "fit" between the two.
Christopher A. Miller +2 more
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2005
Stand der Technik ist, dass man sehr gute und hervorragend reproduzierbare Bauelemente kaufen oder gar selbst fertigen kann. Mit diesen uber der Serie sehr gleichen Bauelemente lassen sich prazise Hochfrequenzschaltungen entwickeln, sofern man uber genaue Modelle dieser Bauelemente verfugt.
Holger Heuermann, Otto Mildenberger
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Stand der Technik ist, dass man sehr gute und hervorragend reproduzierbare Bauelemente kaufen oder gar selbst fertigen kann. Mit diesen uber der Serie sehr gleichen Bauelemente lassen sich prazise Hochfrequenzschaltungen entwickeln, sofern man uber genaue Modelle dieser Bauelemente verfugt.
Holger Heuermann, Otto Mildenberger
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2002
Our goal is to estimate parameters in systems of explicit functions Laplace transforms steady state equations ordinary differential equations differential algebraic equations one-dimensional, time-dependent partial differential equations one-dimensional partial differential algebraic equations.
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Our goal is to estimate parameters in systems of explicit functions Laplace transforms steady state equations ordinary differential equations differential algebraic equations one-dimensional, time-dependent partial differential equations one-dimensional partial differential algebraic equations.
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2015
In this chapter we introduce regression models, i.e., how to fit (regress) one, or more quantities, against each other through a functional relationship and estimate any unknown parameters that dictate this relationship. Questions of interest include: how to deal with samples affected by selection effects?
Stefano Andreon, Brian Weaver
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In this chapter we introduce regression models, i.e., how to fit (regress) one, or more quantities, against each other through a functional relationship and estimate any unknown parameters that dictate this relationship. Questions of interest include: how to deal with samples affected by selection effects?
Stefano Andreon, Brian Weaver
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Antibody–drug conjugates: Smart chemotherapy delivery across tumor histologies
Ca-A Cancer Journal for Clinicians, 2022Paolo Tarantino +2 more
exaly
2016
In expensive optimization problems, the reduction of the number of fitness function calls has an important part to play.
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In expensive optimization problems, the reduction of the number of fitness function calls has an important part to play.
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