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Pharma sales4
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SWK6
Anzahl der Fahrzeugpannen von Honda auf 1.000 Zulassungen im Jahr 2013 mit Erstzulassungen von 2004 bis 2011 - präsentiert von ichwillmeinautoloswerden.de
Fahrzeugpannen Honda Jazz und Honda Civic im Jahr 2013
Fahrzeugpannen Honda Jazz und Honda Civic im Jahr 2013
ichwillmeinautoloswerden
This paper focuses on automated procedures to reduce the dimensionality of protein structure prediction datasets by simplifying the way in which the primary sequence of a protein is represented. The potential benefits of this procedure are faster and easier learning process as well as the generation of more compact and human-readable classifiers. The dimensionality reduction procedure we propose consists on the reduction of the 20-letter amino acid (AA) alphabet, which is normally used to specify a protein sequence, into a lower cardinality alphabet. This reduction comes about by a clustering of AA types accordingly to their physical and chemical similarity. Our automated reduction procedure is guided by a fitness function based on the Mutual Information between the AA-based input attributes of the dataset and the protein structure feature that being predicted. <br /> To search for the optimal reduction, the Extended Compact Genetic Algorithm (ECGA) was used, and afterwards the results of this process were fed into (and validated by) BioHEL, a genetics-based machine learning technique. BioHEL used the reduced alphabet to induce rules for protein structure prediction features. BioHEL results are compared to two standard machine learning systems. Our results show that it is possible to reduce the size of the alphabet used for prediction from twenty to just three letters resulting in more compact, i.e. interpretable, rules. Also, a protein-wise accuracy performance measure suggests that the loss of accuracy accrued by this substantial alphabet reduction is not statistically significant when compared to the full alphabet.
Automated alphabet reduction with evolutionary algorithms for protein structu...
Automated alphabet reduction with evolutionary algorithms for protein structu...
kknsastry
Surlefil violin
Surlefil violin
Samantha de Oliveira
ayudar a los estudiantes
El dia de la tierra
El dia de la tierra
Rosario Garcia Ruiz
في كتاب العادات السبع للناس الاكثر فعالية ستيفن كوفي تلخيص للعادة الأولى اعداد مجموعة من طلاب كلية العلوم الطبية التطبيقية بجامعة القصيم ..
ملخص للعادة الاولى في كتاب العادات السبع للناس الاكثر فعالية ستيفن كوفي
ملخص للعادة الاولى في كتاب العادات السبع للناس الاكثر فعالية ستيفن كوفي
moath Al-Baltan
Asset dan liability insurans company by bnm
Asset dan liability insurans company by bnm
Hazly Takafulge
Il Delfino
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PAVELESCU MAGDALENA
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Pharma sales4
Pharma sales4
SWK6
Anzahl der Fahrzeugpannen von Honda auf 1.000 Zulassungen im Jahr 2013 mit Erstzulassungen von 2004 bis 2011 - präsentiert von ichwillmeinautoloswerden.de
Fahrzeugpannen Honda Jazz und Honda Civic im Jahr 2013
Fahrzeugpannen Honda Jazz und Honda Civic im Jahr 2013
ichwillmeinautoloswerden
This paper focuses on automated procedures to reduce the dimensionality of protein structure prediction datasets by simplifying the way in which the primary sequence of a protein is represented. The potential benefits of this procedure are faster and easier learning process as well as the generation of more compact and human-readable classifiers. The dimensionality reduction procedure we propose consists on the reduction of the 20-letter amino acid (AA) alphabet, which is normally used to specify a protein sequence, into a lower cardinality alphabet. This reduction comes about by a clustering of AA types accordingly to their physical and chemical similarity. Our automated reduction procedure is guided by a fitness function based on the Mutual Information between the AA-based input attributes of the dataset and the protein structure feature that being predicted. <br /> To search for the optimal reduction, the Extended Compact Genetic Algorithm (ECGA) was used, and afterwards the results of this process were fed into (and validated by) BioHEL, a genetics-based machine learning technique. BioHEL used the reduced alphabet to induce rules for protein structure prediction features. BioHEL results are compared to two standard machine learning systems. Our results show that it is possible to reduce the size of the alphabet used for prediction from twenty to just three letters resulting in more compact, i.e. interpretable, rules. Also, a protein-wise accuracy performance measure suggests that the loss of accuracy accrued by this substantial alphabet reduction is not statistically significant when compared to the full alphabet.
Automated alphabet reduction with evolutionary algorithms for protein structu...
Automated alphabet reduction with evolutionary algorithms for protein structu...
kknsastry
Surlefil violin
Surlefil violin
Samantha de Oliveira
ayudar a los estudiantes
El dia de la tierra
El dia de la tierra
Rosario Garcia Ruiz
في كتاب العادات السبع للناس الاكثر فعالية ستيفن كوفي تلخيص للعادة الأولى اعداد مجموعة من طلاب كلية العلوم الطبية التطبيقية بجامعة القصيم ..
ملخص للعادة الاولى في كتاب العادات السبع للناس الاكثر فعالية ستيفن كوفي
ملخص للعادة الاولى في كتاب العادات السبع للناس الاكثر فعالية ستيفن كوفي
moath Al-Baltan
Asset dan liability insurans company by bnm
Asset dan liability insurans company by bnm
Hazly Takafulge
Il Delfino
Il Delfino
PAVELESCU MAGDALENA
rocas
MECA DE ROCAS
MECA DE ROCAS
vladimircha
Autor: Carlos Murcia. Brian Meier
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Székely autonómia - A nemzeti jobboldalról és az MPP-ről kritikusan
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Nagy Attila (Mihai)
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Presentation held at ECCB 05, Barcelona, about ProThesaurus and ProTag, a Web Service based Thesaurus for protein names and identifiers and a Microsoft Office Smart Tag and Addin solution
Web Servicing the Biological Office
Web Servicing the Biological Office
Martin Szugat
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Dhara Desai, MBA
Saiba como a Laboratório de Criatividade pode te ajudar na difícil missão de desenvolver serviços que realmente atendam as necessidades e expectativas de seus clientes e criem um diferencial competitivo. E mais do que isso, treinar a sua equipe!
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