Advanced Structured Prediction
DOWNLOAD
Download Advanced Structured Prediction PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Advanced Structured Prediction book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Advanced Structured Prediction
DOWNLOAD
Author : Sebastian Nowozin
language : en
Publisher: MIT Press
Release Date : 2014-12-05
Advanced Structured Prediction written by Sebastian Nowozin and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-05 with Computers categories.
An overview of recent work in the field of structured prediction, the building of predictive machine learning models for interrelated and dependent outputs. The goal of structured prediction is to build machine learning models that predict relational information that itself has structure, such as being composed of multiple interrelated parts. These models, which reflect prior knowledge, task-specific relations, and constraints, are used in fields including computer vision, speech recognition, natural language processing, and computational biology. They can carry out such tasks as predicting a natural language sentence, or segmenting an image into meaningful components. These models are expressive and powerful, but exact computation is often intractable. A broad research effort in recent years has aimed at designing structured prediction models and approximate inference and learning procedures that are computationally efficient. This volume offers an overview of this recent research in order to make the work accessible to a broader research community. The chapters, by leading researchers in the field, cover a range of topics, including research trends, the linear programming relaxation approach, innovations in probabilistic modeling, recent theoretical progress, and resource-aware learning. Contributors Jonas Behr, Yutian Chen, Fernando De La Torre, Justin Domke, Peter V. Gehler, Andrew E. Gelfand, Sébastien Giguère, Amir Globerson, Fred A. Hamprecht, Minh Hoai, Tommi Jaakkola, Jeremy Jancsary, Joseph Keshet, Marius Kloft, Vladimir Kolmogorov, Christoph H. Lampert, François Laviolette, Xinghua Lou, Mario Marchand, André F. T. Martins, Ofer Meshi, Sebastian Nowozin, George Papandreou, Daniel Průša, Gunnar Rätsch, Amélie Rolland, Bogdan Savchynskyy, Stefan Schmidt, Thomas Schoenemann, Gabriele Schweikert, Ben Taskar, Sinisa Todorovic, Max Welling, David Weiss, Thomáš Werner, Alan Yuille, Stanislav Živný
Structured Learning And Prediction In Computer Vision
DOWNLOAD
Author : Sebastian Nowozin
language : en
Publisher: Now Publishers Inc
Release Date : 2011
Structured Learning And Prediction In Computer Vision written by Sebastian Nowozin and has been published by Now Publishers Inc this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Computers categories.
Structured Learning and Prediction in Computer Vision introduces the reader to the most popular classes of structured models in computer vision.
Linguistic Structure Prediction
DOWNLOAD
Author : Noah A. Smith
language : en
Publisher: Springer Nature
Release Date : 2022-05-31
Linguistic Structure Prediction written by Noah A. Smith and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Computers categories.
A major part of natural language processing now depends on the use of text data to build linguistic analyzers. We consider statistical, computational approaches to modeling linguistic structure. We seek to unify across many approaches and many kinds of linguistic structures. Assuming a basic understanding of natural language processing and/or machine learning, we seek to bridge the gap between the two fields. Approaches to decoding (i.e., carrying out linguistic structure prediction) and supervised and unsupervised learning of models that predict discrete structures as outputs are the focus. We also survey natural language processing problems to which these methods are being applied, and we address related topics in probabilistic inference, optimization, and experimental methodology. Table of Contents: Representations and Linguistic Data / Decoding: Making Predictions / Learning Structure from Annotated Data / Learning Structure from Incomplete Data / Beyond Decoding: Inference
Advance In Structural Bioinformatics
DOWNLOAD
Author : Dongqing Wei
language : en
Publisher: Springer
Release Date : 2014-11-11
Advance In Structural Bioinformatics written by Dongqing Wei and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-11 with Science categories.
This text examines in detail mathematical and physical modeling, computational methods and systems for obtaining and analyzing biological structures, using pioneering research cases as examples. As such, it emphasizes programming and problem-solving skills. It provides information on structure bioinformatics at various levels, with individual chapters covering introductory to advanced aspects, from fundamental methods and guidelines on acquiring and analyzing genomics and proteomics sequences, the structures of protein, DNA and RNA, to the basics of physical simulations and methods for conformation searches. This book will be of immense value to researchers and students in the fields of bioinformatics, computational biology and chemistry. Dr. Dongqing Wei is a Professor at the Department of Bioinformatics and Biostatistics, College of Life Science and Biotechnology, Shanghai Jiaotong University, Shanghai, China. His research interest is in the general area of structural bioinformatics.
Protein Structure Prediction
DOWNLOAD
Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2025-03-23
Protein Structure Prediction written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-23 with Science categories.
"Protein Structure Prediction" is an indispensable resource for anyone engaged in the rapidly evolving field of molecular biophysics. Whether you are a professional researcher, an undergraduate or graduate student, or simply an enthusiast, this book provides cuttingedge insights into the complex world of protein structure prediction. The ability to predict protein structures plays a crucial role in numerous applications, from drug discovery to understanding fundamental biological processes. This book offers a comprehensive, indepth exploration of the various aspects of protein structure prediction, bridging the gap between theory and practical applications. Protein structure prediction-This chapter introduces the fundamental concepts and significance of protein structure prediction, setting the stage for the discussions to follow Alpha helix-Focuses on the alpha helix, one of the most common structural motifs in proteins, and its role in the overall stability and function of proteins Beta sheet-Explores the beta sheet structure, its formation, and how it contributes to the protein's tertiary structure and biological function Protein secondary structure-Delves into the various secondary structural elements in proteins, explaining their influence on protein folding and stability Protein tertiary structure-Discusses the threedimensional arrangement of secondary structure elements and the forces that stabilize this final structure Membrane topology-This chapter covers the prediction of membrane protein structures and their complex interactions with lipid bilayers Structural alignment-Introduces techniques used for aligning protein structures, essential for comparing and contrasting homologous proteins Structural bioinformatics-A look at the computational tools and methods used in protein structure prediction and analysis Protein structure-Provides an overview of the different levels of protein structure and how they relate to function Protein design-Discusses the principles and methods behind designing proteins with specific functions, using computational techniques Lattice protein-Explores the concept of lattice models in protein folding, helping understand how protein structures are formed Threading (protein sequence)-Introduces threading techniques used to predict protein structures based on sequence similarities to known structures Protein contact map-Focuses on the use of contact maps to predict protein folding and interactions Turn (biochemistry)-Discusses the role of turns in protein structures, their formation, and significance in maintaining protein stability Homology modeling-This chapter explores the process of creating threedimensional models of proteins based on sequence homology Loop modeling-Focuses on the techniques for modeling loop regions in proteins, which are crucial for function and stability De novo protein structure prediction-Provides an indepth look at approaches used to predict protein structures without relying on homologous templates Protein domain-Discusses the modular nature of proteins and the importance of protein domains in their structure and function Phyre-A case study of the Phyre server, a widely used tool for protein structure prediction, explaining its applications and methods Protein superfamily-Introduces the concept of protein superfamilies and their significance in evolutionary biology and functional prediction ITASSER-A detailed explanation of the ITASSER tool, a powerful method for protein structure prediction that integrates multiple techniques
Rna Structure Prediction
DOWNLOAD
Author : Risa Karakida Kawaguchi
language : en
Publisher: Springer Nature
Release Date : 2023-01-27
Rna Structure Prediction written by Risa Karakida Kawaguchi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-27 with Science categories.
This book explores recent progress in RNA secondary, tertiary structure prediction, and its application from an expansive point of view. Because of advancements in experimental protocols and devices, the integration of new types of data as well as new analysis techniques is necessary, and this volume discusses additional topics that are closely related to RNA structure prediction, such as the detection of structure-disrupting mutations, high-throughput structure analysis, and 3D structure design. Written for the highly successful Methods in Molecular Biology series, chapters feature the kind of detailed implementation advice that leads to quality research results. Authoritative and practical, RNA Structure Prediction serves as a valuable guide for both experimental and computational RNA researchers.
Advanced Bioinformatics And Computational Biotechnology
DOWNLOAD
Author : Mr. Rohit Manglik
language : en
Publisher: EduGorilla Publication
Release Date : 2024-07-07
Advanced Bioinformatics And Computational Biotechnology written by Mr. Rohit Manglik and has been published by EduGorilla Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-07 with Science categories.
EduGorilla Publication is a trusted name in the education sector, committed to empowering learners with high-quality study materials and resources. Specializing in competitive exams and academic support, EduGorilla provides comprehensive and well-structured content tailored to meet the needs of students across various streams and levels.
Innovations In Data Analytics
DOWNLOAD
Author : Abhishek Bhattacharya
language : en
Publisher: Springer Nature
Release Date : 2024-09-09
Innovations In Data Analytics written by Abhishek Bhattacharya and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-09 with Computers categories.
This book features research papers presented at the 2nd International Conference on Innovations in Data Analytics (ICIDA 2023), held at Eminent College of Management and Technology (ECMT), West Bengal, India during 29 – 30 November 2023. The book presents original research work in the areas of computational intelligence, advance computing, network security and telecommunication, data science and data analytics, and pattern recognition. The book is beneficial for readers from both academia and industry.
Insights In Structural Biology 2021
DOWNLOAD
Author : Annalisa Pastore
language : en
Publisher: Frontiers Media SA
Release Date : 2022-11-15
Insights In Structural Biology 2021 written by Annalisa Pastore and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-15 with Science categories.
Artificial Intelligence Ai In Cell And Genetic Engineering
DOWNLOAD
Author : Sudip Mandal
language : en
Publisher: Springer Nature
Release Date : 2025-06-24
Artificial Intelligence Ai In Cell And Genetic Engineering written by Sudip Mandal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-24 with Technology & Engineering categories.
This volume focuses on how different artificial intelligence (AI) techniques like Artificial Neural Network, Support Vector Machine, Random Forest, k-means Clustering, Rough Set Theory, and Convolutional Neural Network models are used in areas of cell and genetic engineering. The chapters this book cover a variety of topics such as molecular modelling in drug discovery, design of precision medicine, protein structure prediction, and analysis using AI. Readers can also learn about AI-based biomolecular spectroscopy, cell culture-system, AI-based drug discovery, and next generation sequencing. The book also discusses the application of AI in analysis of genetic diseases such as finding genetic insights of oral and maxillofacial cancer, early screening and diagnosis of autism, and classification of breast cancer microarray data. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and thorough, Artificial Intelligence (AI) in Cell and Genetic Engineering is a valuable resource for readers in various research communities who want to learn more about the real-life application of artificial intelligence and machine learning in systems biology, biotechnology, bioinformatics, and health-informatics especially in the field of cell and genetic engineering.