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Añadir al carritoPaperback. Condición: new. Paperback. In 1985, in his role as chief government architect in the Netherlands, Tjeerd Dijkstra wrote a note on the concept of architectural quality and the criteria that, in his opinion, could be applied when assessing building plans. Some thirty years have elapsed and there is still a need for clarity about the concept of architectural quality. Here, Tjeerd Dijkstra describes which concepts play an important part in the definition of architectural quality. After a reflection on these concepts, he enters into the procedures of monitoring and assessment. The proposed criteria and procedures are usable as a theoretical background for all those who are concerned with architectural quality, not only in governmental institutions, but for private clients and interested citizens as well. Professor ir. Tjeerd Dijkstra is an independent architect, former chief government architect in The Netherlands and professor at Delft Technical University. In 1985, in his role as chief government architect in the Netherlands, Tjeerd Dijkstra wrote a note on the concept of architectural quality and the criteria that, in his opinion, could be applied when assessing building plans. Here, Tjeerd Dijkstra describes which concepts play an important part in the definition of architectural quality. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Añadir al carritoCondición: Used. pp. 472 Illus.
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Añadir al carritoCondición: New. Num Pages: 32 pages. BIC Classification: AC; AM. Category: (G) General (US: Trade). Dimension: 5499 x 3564. . . 2016. Paperback. . . . . Books ship from the US and Ireland.
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Publicado por KIT Publishers, Amersterdam, 2016
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Añadir al carritoPaperback. Condición: new. Paperback. In 1985, in his role as chief government architect in the Netherlands, Tjeerd Dijkstra wrote a note on the concept of architectural quality and the criteria that, in his opinion, could be applied when assessing building plans. Some thirty years have elapsed and there is still a need for clarity about the concept of architectural quality. Here, Tjeerd Dijkstra describes which concepts play an important part in the definition of architectural quality. After a reflection on these concepts, he enters into the procedures of monitoring and assessment. The proposed criteria and procedures are usable as a theoretical background for all those who are concerned with architectural quality, not only in governmental institutions, but for private clients and interested citizens as well. Professor ir. Tjeerd Dijkstra is an independent architect, former chief government architect in The Netherlands and professor at Delft Technical University. In 1985, in his role as chief government architect in the Netherlands, Tjeerd Dijkstra wrote a note on the concept of architectural quality and the criteria that, in his opinion, could be applied when assessing building plans. Here, Tjeerd Dijkstra describes which concepts play an important part in the definition of architectural quality. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Añadir al carritoCondición: New. Num Pages: 32 pages. BIC Classification: AC; AM. Category: (G) General (US: Trade). Dimension: 5499 x 3564. . . 2016. Paperback. . . . .
Publicado por Catholic University of Nijmegen, 1994
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Añadir al carritoSoftcover. Condición: Very Good. Softcover copy of DijkstraÕs dissertation defended on 1/17/94 at the Catholic University of Nijmegen, the Netherlands. Detailed study of visual perception and motor control. In English except for Dutch translation of introduction at the end. Dijkstra research involves health informatics, bioinformatics, and systems biology. book.
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Publicado por Rotterdam, Uitgeverij 010
ISBN 10: 9064504695 ISBN 13: 9789064504693
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Añadir al carrito2001, paperback, 32 pp., net exemplaar.
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Publicado por Springer-Verlag New York Inc, 2010
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Añadir al carritoPaperback. Condición: Brand New. 454 pages. 9.20x6.10x1.00 inches. In Stock.
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Publicado por Springer, Springer Spektrum, 2010
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - The eld of bioinformatics has two main objectives: the creation and main- nance of biological databases and the analysis of life sciences data in order to unravel the mysteries of biological function. Computer science methods such as patternrecognition,machinelearning,anddatamining haveagreatdealtoo er the eld of bioinformatics. The Pattern Recognition in Bioinformatics (PRIB) meeting was established in 2006 under the auspices of the International Asso- ation of Pattern Recognition (IAPR) to create a focus for the application and development of computer science methods to life science data. The 5th PRIB conference was held in Nijmegen, The Netherlands, on 22 24 September 2010. A total of 46 papers were submitted to the conference for peer review. Of those, 38 (83%) were accepted for publication in these proceedings. The invited speakers were Rita Casadio (Bologna Biocomputing Group, Italy), Florence d Alch e-Buc (Universit e d Evry-Val d Essonne, France), Daniel - son (Tu bingen University, Germany), and Natasa Przulj (Imperial College L- don, UK). Tutorials weredeliveredby Concettina Guerra (Universit` adi Padova, Italy), Clarisse Dhaenens (Laboratoire LIFL/INRIA, France), Laetitia Jourdan (Laboratoire LIFL/INRIA, France), Neil Lawrence (University of Manchester, UK), and Dick de Ridder (Delft University of Technology).
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Añadir al carritoTaschenbuch. Condición: Neu. Pattern Recognition in Bioinformatics | 5th IAPR International Conference, PRIB 2010, Nijmegen, The Netherlands, September 22-24, 2010, Proceedings | Tjeerd M. H. Dijkstra (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2010 | Springer | EAN 9783642160004 | Verantwortliche Person für die EU: Lauinger, Sonia, Sonia Lauinger, Lauinger Verlag, Heinrich-Köhler-Platz 8, 76187 Karlsruhe, mail[at]lauinger-verlag[dot]de | Anbieter: preigu.
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Añadir al carritoCondición: Sehr gut. Zustand: Sehr gut | Seiten: 472 | Sprache: Englisch | Produktart: Bücher | The ?eld of bioinformatics has two main objectives: the creation and main- nance of biological databases and the analysis of life sciences data in order to unravel the mysteries of biological function. Computer science methods such as patternrecognition,machinelearning,anddatamining haveagreatdealtoo?er the ?eld of bioinformatics. The Pattern Recognition in Bioinformatics (PRIB) meeting was established in 2006 under the auspices of the International Asso- ation of Pattern Recognition (IAPR) to create a focus for the application and development of computer science methods to life science data. The 5th PRIB conference was held in Nijmegen, The Netherlands, on 22¿24 September 2010. A total of 46 papers were submitted to the conference for peer review. Of those, 38 (83%) were accepted for publication in these proceedings. The invited speakers were Rita Casadio (Bologna Biocomputing Group, Italy), Florence d¿Alch¿ e-Buc (Universit¿ e d¿Evry-Val d¿Essonne, France), Daniel - son (Tu ¿bingen University, Germany), and Natasa Przulj (Imperial College L- don, UK). Tutorials weredeliveredby Concettina Guerra (Universit` adi Padova, Italy), Clarisse Dhaenens (Laboratoire LIFL/INRIA, France), Laetitia Jourdan (Laboratoire LIFL/INRIA, France), Neil Lawrence (University of Manchester, UK), and Dick de Ridder (Delft University of Technology).
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Añadir al carritoLeiden, 1991. 29,5 x 29,5 cm. Softcover. Met illustraties in kleur en z/w. 52 pag. UITSTEKEND EXEMPLAAR [Architecture / Dutch [Nederlandse Architectuur] ].
Idioma: Inglés
Publicado por Springer Berlin Heidelberg Sep 2010, 2010
ISBN 10: 364216000X ISBN 13: 9783642160004
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The eld of bioinformatics has two main objectives: the creation and main- nance of biological databases and the analysis of life sciences data in order to unravel the mysteries of biological function. Computer science methods such as patternrecognition,machinelearning,anddatamining haveagreatdealtoo er the eld of bioinformatics. The Pattern Recognition in Bioinformatics (PRIB) meeting was established in 2006 under the auspices of the International Asso- ation of Pattern Recognition (IAPR) to create a focus for the application and development of computer science methods to life science data. The 5th PRIB conference was held in Nijmegen, The Netherlands, on 22 24 September 2010. A total of 46 papers were submitted to the conference for peer review. Of those, 38 (83%) were accepted for publication in these proceedings. The invited speakers were Rita Casadio (Bologna Biocomputing Group, Italy), Florence d Alch e-Buc (Universit e d Evry-Val d Essonne, France), Daniel - son (Tu bingen University, Germany), and Natasa Przulj (Imperial College L- don, UK). Tutorials weredeliveredby Concettina Guerra (Universit` adi Padova, Italy), Clarisse Dhaenens (Laboratoire LIFL/INRIA, France), Laetitia Jourdan (Laboratoire LIFL/INRIA, France), Neil Lawrence (University of Manchester, UK), and Dick de Ridder (Delft University of Technology). 472 pp. Englisch.
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Publicado por Springer Berlin Heidelberg, 2010
ISBN 10: 364216000X ISBN 13: 9783642160004
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Fast track conference proceedingUnique visibilityState of the art researchFast track conference proceedingUnique visibilityState of the art researchClassification of Biological Sequences.- Sequence-Based Prediction of Protein Se.
Idioma: Inglés
Publicado por Springer, Springer Sep 2010, 2010
ISBN 10: 364216000X ISBN 13: 9783642160004
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Classification of Biological Sequences.- Sequence-Based Prediction of Protein Secretion Success in Aspergillus niger.- Machine Learning Study of DNA Binding by Transcription Factors from the LacI Family.- Joint Loop End Modeling Improves Covariance Model Based Non-coding RNA Gene Search.- Structured Output Prediction of Anti-cancer Drug Activity.- SLiMSearch: A Webserver for Finding Novel Occurrences of Short Linear Motifs in Proteins, Incorporating Sequence Context.- Towards 3D Modeling of Interacting TM Helix Pairs Based on Classification of Helix Pair Sequence.- Optimization Algorithms for Identification and Genotyping of Copy Number Polymorphisms in Human Populations.- Preservation of Statistically Significant Patterns in Multiresolution 0-1 Data.- Novel Machine Learning Methods for MHC Class I Binding Prediction.- Unsupervised Learning Methods for Biological Sequences.- SIMCOMP: A Hybrid Soft Clustering of Metagenome Reads.- The Complexity and Application of Syntactic Pattern Recognition Using Finite Inductive Strings.- An Algorithm to Find All Identical Motifs in Multiple Biological Sequences.- Discovery of Non-induced Patterns from Sequences.- Exploring Homology Using the Concept of Three-State Entropy Vector.- A Maximum-Likelihood Formulation and EM Algorithm for the Protein Multiple Alignment Problem.- Polynomial Supertree Methods Revisited.- Enhancing Graph Database Indexing by Suffix Tree Structure.- Learning Methods for Gene Expression and Mass Spectrometry Data.- Semi-Supervised Graph Embedding Scheme with Active Learning (SSGEAL): Classifying High Dimensional Biomedical Data.- Iterated Local Search for Biclustering of Microarray Data.- Biologically-aware Latent Dirichlet Allocation (BaLDA) for the Classification of Expression Microarray.- Measuring the Quality of Shifting and Scaling Patterns in Biclusters.- Frequent Episode Mining to Support Pattern Analysis in Developmental Biology.- Time Series Gene Expression Data Classification via L 1-norm Temporal SVM.- Bioimaging.- Sub-grid and Spot Detection in DNA Microarray Images Using Optimal Multi-level Thresholding.- Quantification of Cytoskeletal Protein Localization from High-Content Images.- Pattern Recognition for High Throughput Zebrafish Imaging Using Genetic Algorithm Optimization.- Consensus of Ambiguity: Theory and Application of Active Learning for Biomedical Image Analysis.- Semi-supervised Learning of Sparse Linear Models in Mass Spectral Imaging.- Molecular Structure Prediction.- A Matrix Algorithm for RNA Secondary Structure Prediction.- Exploiting Long-Range Dependencies in Protein -Sheet Secondary Structure Prediction.- Alpha Helix Prediction Based on Evolutionary Computation.- An On/Off Lattice Approach to Protein Structure Prediction from Contact Maps.- Protein Protein Interaction and Network Inference.- Biological Protein-Protein Interaction Prediction Using Binding Free Energies and Linear Dimensionality Reduction.- Employing Publically Available Biological ExpertKnowledge from Protein-Protein Interaction Information.- SFFS-MR: A Floating Search Strategy for GRNs Inference.- Revisiting the Voronoi Description of Protein-Protein Interfaces: Algorithms.- MC4: A Tempering Algorithm for Large-Sample Network Inference.- Flow-Based Bayesian Estimation of Nonlinear Differential Equations for Modeling Biological Networks.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 472 pp. Englisch.