Distribution free learning

Ebook "The computational complexity of machine learning" includes content: Denitions and motivation for distribution free learning, recent research in computational learning theory, tools for distribution free learning, learning in the presence of errors, lower bounds on sample complexity, cryptographic limitations on polynomial time learning, distribution speci c learning in polynomial time, equivalence of weak learning and group learning, conclusions and open problems.

176p haojiubujain07 20-09-2023 9 2   Download

Permission is granted to copy, distribute, and/or modify this document under the terms of the GNU Free Documentation License, Version 1.1 or any later version published by the Free Software Foundation; with no Invariant Sections, with no Front-Cover Texts, and with no Back-Cover Texts. A copy of the license is included in the appendix entitled “GNU Free Documentation License.” The GNU Free Documentation License is available from www.gnu.org or by writing to the Free Software Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307, USA....

69p shop_123 08-05-2013 42 4   Download

In this paper we study spectral learning methods for non-deterministic split headautomata grammars, a powerful hiddenstate formalism for dependency parsing. We present a learning algorithm that, like other spectral methods, is efficient and nonsusceptible to local minima. We show how this algorithm can be formulated as a technique for inducing hidden structure from distributions computed by forwardbackward recursions.

11p bunthai_1 06-05-2013 49 3   Download

This paper establishes a connection between two apparently very different kinds of probabilistic models. Latent Dirichlet Allocation (LDA) models are used as “topic models” to produce a lowdimensional representation of documents, while Probabilistic Context-Free Grammars (PCFGs) define distributions over trees. The paper begins by showing that LDA topic models can be viewed as a special kind of PCFG, so Bayesian inference for PCFGs can be used to infer Topic Models as well. Adaptor Grammars (AGs) are a hierarchical, non-parameteric Bayesian extension of PCFGs. ...

10p hongdo_1 12-04-2013 58 2   Download

Support for this project has been provided by the Australian Learning and Teaching Council, an initiative of the Australian Government Department of Education, Employment and Workplace Relations. The views expressed in this report do not necessarily reflect the views of the Australian Learning and Teaching Council Ltd. This work is published under the terms of the Creative Commons Attribution-Noncommercial-ShareAlike 2.5 Australia Licence. Under this Licence you are free to copy, distribute, display and perform the work and to make derivative works.

0p chiecxedien 02-01-2013 37 2   Download

Basic oscilloscope operation This worksheet and all related files are licensed under the Creative Commons Attribution License, version 1.0. To view a copy of this license, visit http://creativecommons.org/licenses/by/1.0/, or send a letter to Creative Commons, 559 Nathan Abbott Way, Stanford, California 94305, USA. The terms and conditions of this license allow for free copying, distribution, and/or modification of all licensed works by the general public. Resources and methods for learning about these subjects (list a few here, in preparation for your research). ...

32p nguyenvanphonbk 18-03-2011 72 5   Download

Permission is granted to copy, distribute and/or modify this document under the terms of the GNU General Public License, Version 2 or any later version published by the Free Software Foundation. All logos and trademarks in this document are property of their respective owner.

223p tungbk03 09-03-2011 201 91   Download

This book is intended for Linux users who want to learn more about the inner workings of Linux and how the various pieces of the Operating System fit together. This book will guide you step−by−step in creating your own custom build Linux system from scratch, using nothing but the sources of software that are needed. This book is also intended for Linux users who want to get away from the existing commercial and free distributions that are often too bloated. Using existing distributions also forces you to use the file system structure, boot script structure, etc.

353p vuzlong 12-07-2010 108 25   Download