1# Library to Find Best eBook for Read
Author : Alice Schlein
Release : 1994
Genre : Crafts & Hobbies
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Network Drafting by : Alice Schlein
Download or read book Network Drafting written by Alice Schlein. This book was released on 1994. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Madelyn Van der Hoogt
Release : 1993-01-01
Genre : Crafts & Hobbies
Kind : eBook
Book Rating : 519/5 ( reviews)
Book Synopsis The Complete Book of Drafting for Handweavers by : Madelyn Van der Hoogt
Download or read book The Complete Book of Drafting for Handweavers written by Madelyn Van der Hoogt. This book was released on 1993-01-01. Available in PDF, EPUB and Kindle. Book excerpt:
Author : National Research Council
Release : 2009-10-27
Genre : Science
Kind : eBook
Book Rating : 026/5 ( reviews)
Book Synopsis Frontiers in Crystalline Matter by : National Research Council
Download or read book Frontiers in Crystalline Matter written by National Research Council. This book was released on 2009-10-27. Available in PDF, EPUB and Kindle. Book excerpt: For much of the past 60 years, the U.S. research community dominated the discovery of new crystalline materials and the growth of large single crystals, placing the country at the forefront of fundamental advances in condensed-matter sciences and fueling the development of many of the new technologies at the core of U.S. economic growth. The opportunities offered by future developments in this field remain as promising as the achievements of the past. However, the past 20 years have seen a substantial deterioration in the United States' capability to pursue those opportunities at a time when several European and Asian countries have significantly increased investments in developing their own capacities in these areas. This book seeks both to set out the challenges and opportunities facing those who discover new crystalline materials and grow large crystals and to chart a way for the United States to reinvigorate its efforts and thereby return to a position of leadership in this field.
Author : Gregory J. Battersby
Release : 2010-01-01
Genre : Law
Kind : eBook
Book Rating : 967/5 ( reviews)
Book Synopsis Drafting Internet Agreements by : Gregory J. Battersby
Download or read book Drafting Internet Agreements written by Gregory J. Battersby. This book was released on 2010-01-01. Available in PDF, EPUB and Kindle. Book excerpt: Drafting Internet Agreements, Second Edition is the most comprehensive single volume collection of annotated forms for the internet. The book also offers valuable insights for business executives who want to know how internet transactions are structured and how to negotiate the best deals. This easy-to-use reference with accompanying CD-ROM offers instant access to more than 40 sample agreements for every area of internet practice including: Internet advertising Internet consulting Electronic commerce Internet joint ventures Internet licensing Technology development Website agreements And more Each form has been developed by the authors or other experienced internet law practitioners and has been used in actual transactions. Organized by type of transaction, each chapter includes a full agreement that illustrates the entire transaction as a seamless whole, as well as a variety of agreements for closely related issues. For each form, the authors provide a brief overview, an analysis of the different kinds of forms that relate to the topic, and a description of the form's applicability and use. Coverage includes: Developing the content portion of the website Seeking intellectual property protection of website content Resolving domain name disputes Seeking to recover a domain name to which you have rights Linking a website to other sites Raising capital to develop and operate a site Marketing the Internet site Selling advertising on the internet site And more. A andquot;Practice Tipsandquot; section before each form identifies the andquot;hot spotsandquot; that are likely to arise during the transaction, and offers guidance on resolving these hotly negotiated provisions quickly. Detailed checklists assist in drafting the final agreement. Drafting Internet Agreements, Second Edition also includes a free companion CD-ROM containing over 40 forms presented in the guide, making it easy to incorporate the forms into a word processing program.
Author : William L. William L. Hamilton
Release : 2022-06-01
Genre : Computers
Kind : eBook
Book Rating : 886/5 ( reviews)
Book Synopsis Graph Representation Learning by : William L. William L. Hamilton
Download or read book Graph Representation Learning written by William L. William L. Hamilton. This book was released on 2022-06-01. Available in PDF, EPUB and Kindle. Book excerpt: Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings, generalizations of convolutional neural networks to graph-structured data, and neural message-passing approaches inspired by belief propagation. These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical synthesis, 3D vision, recommender systems, question answering, and social network analysis. This book provides a synthesis and overview of graph representation learning. It begins with a discussion of the goals of graph representation learning as well as key methodological foundations in graph theory and network analysis. Following this, the book introduces and reviews methods for learning node embeddings, including random-walk-based methods and applications to knowledge graphs. It then provides a technical synthesis and introduction to the highly successful graph neural network (GNN) formalism, which has become a dominant and fast-growing paradigm for deep learning with graph data. The book concludes with a synthesis of recent advancements in deep generative models for graphs—a nascent but quickly growing subset of graph representation learning.
