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		<title>Gbachelier: Die Seite wurde neu angelegt: „== Reference == Brian J. Ross: Evolutionary Learning and Stochastic Process Algebra. 1st International Workshop on Induction of Process Models, ICML 20…“</title>
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				<updated>2015-01-14T10:02:54Z</updated>
		
		<summary type="html">&lt;p&gt;Die Seite wurde neu angelegt: „== Reference == &lt;a href=&quot;/index.php?title=Brian_J._Ross&quot; title=&quot;Brian J. Ross&quot;&gt;Brian J. Ross&lt;/a&gt;: &lt;a href=&quot;/index.php?title=Evolutionary_Learning_and_Stochastic_Process_Algebra&quot; title=&quot;Evolutionary Learning and Stochastic Process Algebra&quot;&gt;Evolutionary Learning and Stochastic Process Algebra&lt;/a&gt;. 1st International Workshop on Induction of Process Models, ICML 20…“&lt;/p&gt;
&lt;p&gt;&lt;b&gt;Neue Seite&lt;/b&gt;&lt;/p&gt;&lt;div&gt;== Reference ==&lt;br /&gt;
[[Brian J. Ross]]: [[Evolutionary Learning and Stochastic Process Algebra]]. 1st International Workshop on Induction of Process Models, ICML 2007, Corvallis, OR, June 2007. &lt;br /&gt;
&lt;br /&gt;
== DOI ==&lt;br /&gt;
&lt;br /&gt;
== Abstract ==&lt;br /&gt;
This extended abstract discusses research us-&lt;br /&gt;
ing genetic programming to evolve stochastic&lt;br /&gt;
processes, as modelled in the stochastic pi-&lt;br /&gt;
calculus.&lt;br /&gt;
&lt;br /&gt;
== Extended Abstract ==&lt;br /&gt;
&lt;br /&gt;
== Bibtex == &lt;br /&gt;
&lt;br /&gt;
== Used References ==&lt;br /&gt;
Blossey, R., Cardelli, L., &amp;amp; Phillips, A. (2006). A Com-&lt;br /&gt;
positional Approach to the Stochastic Dynamics of&lt;br /&gt;
Gene Networks. Trans. in Comp. Sys. Bio (TCSB),&lt;br /&gt;
3939, 99–122.&lt;br /&gt;
&lt;br /&gt;
Hoare, C. A. R. (1985). Communicating Sequential&lt;br /&gt;
Processes. Prentice–Hall.&lt;br /&gt;
&lt;br /&gt;
Kitagawa, J., &amp;amp; Iba, H. (2003). Identifying Metabolic&lt;br /&gt;
Pathways and Gene Regulation Networks with Evo-&lt;br /&gt;
lutionary Algorithms. In G. Fogel and D. Corne&lt;br /&gt;
(Eds.), Evolutionary computation in bioinformatics,&lt;br /&gt;
255–278. Morgan Kaufmann.&lt;br /&gt;
&lt;br /&gt;
Koza, J., Keane, M., Streeter, M., Mydlowec, W., Yu,&lt;br /&gt;
J., &amp;amp; Lanza, G. (2003). Genetic Programming IV:&lt;br /&gt;
Routine Human-Competitive Machine Intelligence.&lt;br /&gt;
Kluwer Academic Publishers.&lt;br /&gt;
&lt;br /&gt;
Milner, R. (1989). Communication and Concurrency.&lt;br /&gt;
Prentice Hall.&lt;br /&gt;
&lt;br /&gt;
Milner, R. (1999). Communicating and Mobile Sys-&lt;br /&gt;
tems: the Pi-calculus. Cambridge University Press.&lt;br /&gt;
&lt;br /&gt;
Phillips, A. (2007). The stochastic pi machine (spim).&lt;br /&gt;
URL: http://research.microsoft.com/aphillip/spim/.&lt;br /&gt;
Last accessed March 1, 2007.&lt;br /&gt;
&lt;br /&gt;
Phillips, A., &amp;amp; Cardelli, L. (2005). A Correct Abstract&lt;br /&gt;
Machine for the Stochastic Pi-calculus. Proc. Bio-&lt;br /&gt;
concur’04. London, UK.&lt;br /&gt;
&lt;br /&gt;
Phillips, A., Cardelli, L., &amp;amp; Castagna, G. (2006). A&lt;br /&gt;
Graphical Representation for Biological Processes in&lt;br /&gt;
the Stochastic pi-calculus. Trans. in Comp. Sys. Bio&lt;br /&gt;
(TCSB), 4230, 123–152.&lt;br /&gt;
&lt;br /&gt;
Priami, C. (1995). Stochastic pi-Calculus. The Com-&lt;br /&gt;
puter Journal, 38, 579–589.&lt;br /&gt;
&lt;br /&gt;
Priami, C., Regev, A., Shapiro, E., &amp;amp; Silverman, W.&lt;br /&gt;
(2001). Application of a stochastic name-passing&lt;br /&gt;
calculus to representation and simulation of molec-&lt;br /&gt;
ular processes. Information Processing Letters, 80,&lt;br /&gt;
25–31.&lt;br /&gt;
&lt;br /&gt;
Ross, B. (1998a). Pairwise Sequence Comparison and&lt;br /&gt;
the Genetic Programming of Iterative Concurrent&lt;br /&gt;
Programs. Proc. Genetic Programming 1998 (pp.&lt;br /&gt;
338–343). Morgan Kaufmann.&lt;br /&gt;
&lt;br /&gt;
Ross, B. (1998b). The Evolution of Concurrent Pro-&lt;br /&gt;
grams. Applied Intelligence, 8, 21–32.&lt;br /&gt;
&lt;br /&gt;
Ross, B. (2001). Logic-based Genetic Programming&lt;br /&gt;
with Definite Clause Translation Grammars. New&lt;br /&gt;
Generation Computing, 19, 313–337.&lt;br /&gt;
&lt;br /&gt;
Ross, B. (2007). Using Genetic Programming to Syn-&lt;br /&gt;
thesize Monotonic Stochastic Processes. Proceedings&lt;br /&gt;
CI-2007. Banff, AB, Canada.&lt;br /&gt;
&lt;br /&gt;
Speith, C., Streichert, F., Speer, N., &amp;amp; Zell, A. (2004).&lt;br /&gt;
Iteratively inferring gene regulatory networks with&lt;br /&gt;
virtual knockout experiments. Proc. 2nd European&lt;br /&gt;
Workshop on Evolutionary Bioinformatics (pp. 102–&lt;br /&gt;
112). Springer. LNCS 3005.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Links ==&lt;br /&gt;
=== Full Text === &lt;br /&gt;
http://www.cosc.brocku.ca/~bross/research/icml07ws.pdf&lt;br /&gt;
&lt;br /&gt;
[[intern file]]&lt;br /&gt;
&lt;br /&gt;
=== Sonstige Links ===&lt;/div&gt;</summary>
		<author><name>Gbachelier</name></author>	</entry>

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