Efficient Online Learning Algorithms for Total Least Square Problems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Efficient Online Learning Algorithms for Total Least Square Problems write by Xiangyu Kong. This book was released on . Efficient Online Learning Algorithms for Total Least Square Problems available in PDF, EPUB and Kindle.
The Total Least Squares Problem
The Total Least Squares Problem - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Total Least Squares Problem write by Sabine Van Huffel. This book was released on 1991-01-01. The Total Least Squares Problem available in PDF, EPUB and Kindle. This is the first book devoted entirely to total least squares. The authors give a unified presentation of the TLS problem. A description of its basic principles are given, the various algebraic, statistical and sensitivity properties of the problem are discussed, and generalizations are presented. Applications are surveyed to facilitate uses in an even wider range of applications. Whenever possible, comparison is made with the well-known least squares methods. A basic knowledge of numerical linear algebra, matrix computations, and some notion of elementary statistics is required of the reader; however, some background material is included to make the book reasonably self-contained.
Understanding Machine Learning
Understanding Machine Learning - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Understanding Machine Learning write by Shai Shalev-Shwartz. This book was released on 2014-05-19. Understanding Machine Learning available in PDF, EPUB and Kindle. Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.
Towards Better Understanding of Algorithms and Complexity of Some Learning Problems
Towards Better Understanding of Algorithms and Complexity of Some Learning Problems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Towards Better Understanding of Algorithms and Complexity of Some Learning Problems write by Xin Yang. This book was released on 2020. Towards Better Understanding of Algorithms and Complexity of Some Learning Problems available in PDF, EPUB and Kindle. We present several novel results on computational problems related to supervised learning.We focus on the computational resources required by algorithms to solve learning problems. The computational resources we consider are running time, memory usage and query complexity, which is the number of positions in the input that the algorithm needs to check. Some contributions include: time-space tradeoff lower bounds for problems of learning from uniformly random labelled examples. With our methods we can obtain bounds for learning concept classes of finite functions from random evaluations even when the sample space of random inputs can be significantly smaller than the concept class of functions and the function values can be from an arbitrary finite set. A simple and efficient algorithm for approximating the John Ellipsoid of a symmetric polytope. Our algorithm is near optimal in the sense that our time complexity matches the current best verification algorithm. Experimental results suggest that our algorithm significantly outperforms existing algorithms.The first algorithm for the total least squares problem, a variant of the ordinary least squares problem, that runs in time proportional to the sparsity of the input. The core to developing our algorithm involves recent advances in randomized linear algebra. \item A generic space efficient algorithm that is based on deterministic decision trees. The first algorithm for the linear bandits problem with prior constraints.
Efficiency and Scalability Methods for Computational Intellect
Efficiency and Scalability Methods for Computational Intellect - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Efficiency and Scalability Methods for Computational Intellect write by Igelnik, Boris. This book was released on 2013-04-30. Efficiency and Scalability Methods for Computational Intellect available in PDF, EPUB and Kindle. Computational modeling and simulation has developed and expanded into a diverse range of fields such as digital signal processing, image processing, robotics, systems biology, and many more; enhancing the need for a diversifying problem solving applications in this area. Efficiency and Scalability Methods for Computational Intellect presents various theories and methods for approaching the problem of modeling and simulating intellect in order to target computation efficiency and scalability of proposed methods. Researchers, instructors, and graduate students will benefit from this current research and will in turn be able to apply the knowledge in an effective manner to gain an understanding of how to improve this field.
