Proceedings Of The Twenty-fifth Aaai Conference PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Proceedings Of The Twenty-fifth Aaai Conference PDF full book. Access full book title Proceedings Of The Twenty-fifth Aaai Conference by Mit Pr. Download full books in PDF and EPUB format.
Author: Mit Pr
Publisher:
ISBN: 9781577355076
Category :
Languages : en
Pages : 1982
Get Book Here
Book Description
Author: Mit Pr
Publisher:
ISBN: 9781577355076
Category :
Languages : en
Pages : 1982
Get Book Here
Book Description
Author: 2011 San Francisco Conference on Artificial Intelligence (Calif)
Publisher:
ISBN: 9781577355083
Category : Artificial intelligence
Languages : en
Pages : 1898
Get Book Here
Book Description
Author: Lawrence Hunter
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 484
Get Book Here
Book Description
These original contributions provide a current sampling of AI approaches to problems of biological significance; they are the first to treat the computational needs of the biology community hand-in-hand with appropriate advances in artificial intelligence. The enormous amount of data generated by the Human Genome Project and other large-scale biological research has created a rich and challenging domain for research in artificial intelligence. These original contributions provide a current sampling of AI approaches to problems of biological significance; they are the first to treat the computational needs of the biology community hand-in-hand with appropriate advances in artificial intelligence. Focusing on novel technologies and approaches, rather than on proven applications, they cover genetic sequence analysis, protein structure representation and prediction, automated data analysis aids, and simulation of biological systems. A brief introductory primer on molecular biology and Al gives computer scientists sufficient background to understand much of the biology discussed in the book. Lawrence Hunter is Director of the Machine Learning Project at the National Library of Medicine, National Institutes of Health.
Author:
Publisher:
ISBN: 9781577355090
Category : Artificial intelligence
Languages : en
Pages : 1898
Get Book Here
Book Description
Author:
Publisher:
ISBN: 9780262510714
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 1883
Get Book Here
Book Description
Author: Yao Ma
Publisher: Cambridge University Press
ISBN: 1108831745
Category : Computers
Languages : en
Pages : 339
Get Book Here
Book Description
A comprehensive text on foundations and techniques of graph neural networks with applications in NLP, data mining, vision and healthcare.
Author:
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 2001
Get Book Here
Book Description
The technical papers presented at this conference feature substantial, original research and practices, with special emphasis on constraints, satisfiability, and search, knowledge-based information systems, knowledge representation and reasoning, machine learning, multiagent systems, multidisciplinary topics, natural-language processing, reasoning about plans, processes, and actions, reasoning under uncertainty, robotics, and short papers. The proceedings also includes special track papers on bioinformations, AI and the web, challenges in AI, integrated intelligence, and physically grounded AI.--From publisher description.
Author: Benjamin Johnston
Publisher:
ISBN: 9781577355236
Category :
Languages : en
Pages : 60
Get Book Here
Book Description
Author: Celine Rouveirol
Publisher: Springer Science & Business Media
ISBN: 3540425381
Category : Computers
Languages : en
Pages : 270
Get Book Here
Book Description
This book constitutes the refereed proceedings of the 11th International Conference on Inductive Logic Programming, ILP 2001, held in Strasbourg, France in September 2001. The 21 revised full papers presented were carefully reviewed and selected from 37 submissions. Among the topics addressed are data mining issues for multi-relational databases, supervised learning, inductive inference, Bayesian reasoning, learning refinement operators, neural network learning, constraint satisfaction, genetic algorithms, statistical machine learning, transductive inference, etc.
