lost.ruc.dk

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LOgic-STatistic Modeling and Analysis of Biological Sequence Data. To the LoSt forum. Extending logic programming with statistics dramatically extends the modelling capabilities of the declarative programming paradigm. Questions as to the most probable success-criteria of some goal are now catered for, - as is statistical parameter learning and maximum likelihood algorithms. Much of the strength of stochastical modelling becomes an integrate part of logic programming.

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LoSt project | lost.ruc.dk Reviews

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LOgic-STatistic Modeling and Analysis of Biological Sequence Data. To the LoSt forum. Extending logic programming with statistics dramatically extends the modelling capabilities of the declarative programming paradigm. Questions as to the most probable success-criteria of some goal are now catered for, - as is statistical parameter learning and maximum likelihood algorithms. Much of the strength of stochastical modelling becomes an integrate part of logic programming.

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7 coupons

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LoSt project | lost.ruc.dk Reviews

https://lost.ruc.dk

LOgic-STatistic Modeling and Analysis of Biological Sequence Data. To the LoSt forum. Extending logic programming with statistics dramatically extends the modelling capabilities of the declarative programming paradigm. Questions as to the most probable success-criteria of some goal are now catered for, - as is statistical parameter learning and maximum likelihood algorithms. Much of the strength of stochastical modelling becomes an integrate part of logic programming.

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LoSt project

http://lost.ruc.dk/Events

LOgic-STatistic Modeling and Analysis of Biological Sequence Data. To the LoSt forum. 28-29 September 2009: Workshop at Roskilde University. The workshop takes place in room 42.2-02 (bldg. 42, level 2, room 02: ISL/PLIS-lab); participation only. The following time table is flexible, which means that if we start an interesting discussion during one presentation, we may postpone the next sessions, even until the following day. And we can decide to swop presentation. Welcome and overview of the LoSt project.

2

LoSt project

http://lost.ruc.dk/People

LOgic-STatistic Modeling and Analysis of Biological Sequence Data. To the LoSt forum. Ana Capatana (Nov 08 - Ju 09). Sept 08 - Jul 2010). Søren Mørk. Roskilde University - Universitetsvej 1 - dk-4000 Roskilde - Denmark.

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LoSt project

http://lost.ruc.dk/Publications

LOgic-STatistic Modeling and Analysis of Biological Sequence Data. To the LoSt forum. A Constraint Model for Constrained Hidden Markov Models: a first Biological Application WCB09, Workshop on Constraint Based Methods for Bioinformatics. Associated to CP 2009. Lisbon, Portugal, September 20, 2009. 10] Christian Theil Have. Bulgaria, September 14-17, 2009. Available as pdf. Pasadena, California, USA, July 14-17, 2009. Lecture Notes in Computer Science. 5649, pp. 70-83, Springer 2009. John P. Gallagher.

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the LoSt forums • Index page

http://lost.ruc.dk/forum

Cooperative site for LoSt project members. It is currently Mon Aug 29, 2016 8:43 am. All times are UTC. 2000, 2002, 2005, 2007 phpBB Group.

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LOgic-STatistic Modeling and Analysis of Biological Sequence Data. To the LoSt forum. Extending logic programming with statistics dramatically extends the modelling capabilities of the declarative programming paradigm. Questions as to the most probable success-criteria of some goal are now catered for, - as is statistical parameter learning and maximum likelihood algorithms. Much of the strength of stochastical modelling becomes an integrate part of logic programming.

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