TAILIEUCHUNG - Computer Science and Artificial Intelligence

The Panel on Computer Science and Artificial Intelligence was established in early 1992 by the Naval Studies Board (NSB) of the National Research Council in response to a request from the Naval Research Laboratory (NRL). The NRL called on the NSB to establish a panel of experts in the fields of computer science and artificial intelligence to interact informally with the laboratory's research staff regarding plans, facilities, capabilities, prospects, and problems faced by the represented communities (government, academia, and industry) and to address the tasks contained in the formal terms of reference | Computer Science and Artificial Intelligence Panel on Computer Science and Artifical Intelligence National Research Council ISBN 0-309-59085-X 32 pages 6 x 9 1997 This free PDF was downloaded from http catalog Visit the National Academies Press online the authoritative source for all books from the National Academy of Sciences the National Academy of Engineering the Institute of Medicine and the National Research Council Download hundreds of free books in PDF Read thousands of books online free Sign up to be notified when new books are published Purchase printed books Purchase PDFs Explore with our innovative research tools Thank you for downloading this free PDF. If you have comments questions or just want more information about the books published by the National Academies Press you may contact our customer service department toll-free at 888-624-8373 visit us online or send an email to comments@. This free book plus thousands more books are available at http . Copyright National Academy of Sciences. Permission is granted for this material to be shared for noncommercial educational purposes provided that this notice appears on the reproduced materials the Web address of the online full authoritative version is retained and copies are not altered. To disseminate otherwise or to republish requires written permission from the National Academies Press. THE NATIONAL ACADEMIES Advisers to the Notion on Science Engineering and Medicine Computer Science and Artificial Intelligence . catalog About this PDF file This new digital representation of the original work has been recomposed from XML files created from the original paper book not from the original typesetting files. Page breaks are true to the original line lengths word breaks heading styles and other typesetting-specific formatting however cannot be retained and some typographic errors may have been accidentally inserted. Please use the print version of .

• Kỹ thuật lập trình
• Machine Learning
• Adaptive Systems
• Challenge Areas
• Industrial Interest
• Virtual Worlds
• Computer Interface
• Lecture Machine learning
• Machine learning algorithms
• Data analysis methods
• Max margin learning
• Multi instance learning
• Reinforcement learning
• Delayed rewards
• Machine Learning Introduction
• Machine Learning Work
• Types of Machine Learning
• Supervised Learning
• Forms of Supervised Learning
• Bayesian Learning
• Back propagation
• Boltzmann machines
• Linear prediction
• Linear regression models
• Maximum likelihood
• Gaussian distributions
• Nonlinear ridge regression risk
• Cross validation
• Newton’s algorithm
• Gradient descent algorithm
• Logistic regression
• Logistic regression likelihood
• Formulate layers
• Neural networks
• Artificial neural networks
• Convolutional neural networks
• Design convolutional layers
• Recurrent nets
• Recurrent neural networks
• Lecture Introduction to Machine learning and Data mining
• Bài giảng Học máy và khai phá dữ liệu
• Machine learning and data mining
• Linear regression
• Learning a regression function
• Unsupervised learning
• Partition based clustering
• The sewing machine classroom
• Learning the ins
• Outs of your machine
• Mastering the materials
• Demystifying your machine
• Increasing your sphere
• Deep Belief Network
• Restricted Boltzmann Machine
• Support Vector Machine
• Automatic CNC program
• Challenges in Machine Learning
• Data Mining
• Learning from non vectorial data
• Beyond classification and regression
• Distributed data mining
• Machine learning bottleneck
• Introduction to machine learning
• Bayesian decision theory
• Parametric methods
• Multivariate methods
• BMC Bioinformatics
• Extreme learning machine
• Correntropy induced loss
• Machine learning method
• K nearest neighbors
• Neighbor based learnin
• Decision tree
• Random forest
• Support vector machines
• Separating hyperplane
• Artificial neural network
• Rectified linear unit
• Normalization methods
• Deep learning
• Representation learning
• Phenotype prediction
• Molecular diagnostics