Invitation aux Rencontres de l\'Export du 5 février 2010Renaud Favier
Pour information et inscription (participation gratuite pour entreprepreneurs, presse et pros de l\'international mais inscription obligatoire) :
http://www.rencontres-export.fr/
Invitation aux Rencontres de l\'Export du 5 février 2010Renaud Favier
Pour information et inscription (participation gratuite pour entreprepreneurs, presse et pros de l\'international mais inscription obligatoire) :
http://www.rencontres-export.fr/
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
Automated alphabet reduction with evolutionary algorithms for protein structu...kknsastry
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.
تهدف هذه الوثيقة إلى عرض مشاريع الحسيمة "منارة المتوسط" وباقي المشاريع التنموية الموجهة لهذا الإقليم، والمجهود الحكومي لتسريع وثيرة الإنجاز بما يضمن احترام الآجال المحددة
أعدت الوزارة المنتدبة لدى رئيس الحكومة المكلفة بالعلاقات مع البرلمان والمجتمع المدني، دليلا مبسطا للمشاركة المواطنة، موجه إلى المواطنات والمواطنين وجمعيات المجتمع المدني، ويشمل الدليل في جزئه الأول الخطوات الأساسية التي يتعين اتباعها من أجل ممارسة الحق في تقديم العرائض الموجهة إلى السلطات العمومية أو مجالس الجماعات الترابية كما يضم الآليات التشاركية للحوار والتشاور على الصعيد الترابي.
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
Automated alphabet reduction with evolutionary algorithms for protein structu...kknsastry
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.
تهدف هذه الوثيقة إلى عرض مشاريع الحسيمة "منارة المتوسط" وباقي المشاريع التنموية الموجهة لهذا الإقليم، والمجهود الحكومي لتسريع وثيرة الإنجاز بما يضمن احترام الآجال المحددة
أعدت الوزارة المنتدبة لدى رئيس الحكومة المكلفة بالعلاقات مع البرلمان والمجتمع المدني، دليلا مبسطا للمشاركة المواطنة، موجه إلى المواطنات والمواطنين وجمعيات المجتمع المدني، ويشمل الدليل في جزئه الأول الخطوات الأساسية التي يتعين اتباعها من أجل ممارسة الحق في تقديم العرائض الموجهة إلى السلطات العمومية أو مجالس الجماعات الترابية كما يضم الآليات التشاركية للحوار والتشاور على الصعيد الترابي.
صدر بالجريدة الرسمية عدد 6454
28 جمادى الآخرة 1437 (7 أبريل 2016)
ص: 2961-2969
قانون المجلس الوطني للصحافة
ظهير شريف رقم 1.16.24 صادر في 30 من جمادى الأولى 1437 (10 مارس 2016) بتنفيذ القانون رقم 90.13 القاضي بإحداث المجلس الوطني للصحافة