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| <em>Machine Learning</em> textbook Machine Learning is the study of computer algorithms that improve automatically through experience. Applications range from datamining programs that ... [ http://www.cs.cmu.edu/~tom/mlbook.html ] |
| Introduction to <em>Machine Learning This page has pointers to my draft book on Machine Learning and to its ... The notes survey many of the important topics in machine learning circa 1996. ... [ http://robotics.stanford.edu/~nilsson/mlbook.html ] |
| AITopics / <em>MachineLearning Machine learning refers to a system capable of the autonomous acquisition and integration of knowledge. This capacity to learn from experience, ... [ http://www.aaai.org/AITopics/html/machine.html ] |
| <em>Machine Learning Machine Learning is an international forum for research on computational ... Research methodology papers improve how machine learning research is conducted. ... [ http://www.springer.com/computer/artificial/journal/10994 ] |
| <em>Machine Learning</em> (Theory) Although I’m greatly interested in machine learning, I think it must be admitted that there is a large amount of low quality logic being used in reviews. ... [ http://hunch.net/ ] |
| UCI <em>Machine Learning</em> Repository A moderated discussion list about Machine Learning. Email subscribe/unsubscribe request to ml-request@isle.org. Email contribution to ml@isle.org. [ http://www.ics.uci.edu/~mlearn/MLRepository.html ] |
| <em>Machine Learning</em> Journal Machine Learning publishes articles on the mechanisms through which intelligent systems improve their performance over time. We invite authors to submit ... [ http://pages.stern.nyu.edu/~fprovost/MLJ/ ] |
| <em>machinelearning</em>.org - Home The International Machine Learning Society is a non-profit organisation whose main aim is to foster machine learning research and whose main activity is the ... [ http://www.machinelearning.org/ ] |
 | Amazon.com: <em>Machine Learning</em>: Tom M. Mitchell: Books Pattern Recognition and Machine Learning (Information Science and Statistics) by ... Data Mining: Practical Machine Learning Tools and Techniques, ... [ http://www.amazon.com/Machine-Learning-Tom-M-Mitchell/dp/0070428077 ] |
| CS 391L: <em>Machine Learning The class uses the Weka package of machine learning software in Java. The code for the local version of Weka used in class is in /u/mooney/cs391L-code/weka/ ... [ http://www.cs.utexas.edu/~mooney/cs391L/ ] |
| CS 229: <em>Machine Learning STANFORD. CS229 Machine Learning Autumn 2008. Announcements. Please note the changes in the office hours for some of the TAs. The course info page will ... [ http://cs229.stanford.edu/ ] |
| 15-859(B) <em>Machine Learning</em> Theory, Spring 2008 Course description: This course will focus on theoretical aspects of machine learning. We will examine questions such as: What kinds of guarantees can one ... [ http://www.machinelearning.com/ ] |
| Microsoft Research: /<em>Machine Learning</em> and Applied Statistics Group at Microsoft focused on learning from data and data mining. By building software that automatically learns from data, enable applications that do ... [ http://research.microsoft.com/mlas/ ] |
| <em>Machine Learning</em> at the University of Toronto The Department of Computer Science at the University of Toronto has several faculty members working in the area of machine learning, neural networks, ... [ http://learning.cs.toronto.edu/ ] |
