madan.wordpress.com
Madan Thangavelu | Invobot : Artificially intelligent
https://madan.wordpress.com/author/madan
Invobot : Artificially intelligent. Lets make machines intelligent. Author Archives: Madan Thangavelu. Matrix representation of an ellipse. Its nice to know how we can represent an ellipse and then an ellipsoid in the form of matrix. Such matrix represenation will help us develop various concepts of normal distribution while trying to fit an ellipse around datapoints. I am placing this link here for reference. Http:/ www.cs.mtu.edu/ shene/COURSES/cs3621/NOTES/geometry/simple.html. January 28, 2008. MindS...
hunch.net
John Langford
http://hunch.net/~jl
Doctor of Learning at Microsoft Research. Jl@hunch.net, jcl@microsoft.com}. Vowpal Wabbit Fast Learning Project. Learning to Search tutorial at ICML 2015. Machine Learning (Theory) Weblog. Conferences, Workshops, Seminars, Summer Schools. I am a technology maker, focusing on learning. This is all about learning when the learning algorithm has some interaction with the environment. How can you measure prediction ability? With some other content). A labelled image dataset. This dataset can be searched.
madan.wordpress.com
Principal Component Analysis | Invobot : Artificially intelligent
https://madan.wordpress.com/2007/11/06/principal-component-analysis
Invobot : Artificially intelligent. Lets make machines intelligent. I was just looking for some information on ISOMAP. I had then hit by the terms PCA and MDA a multiple times that i decided to give it a good glance . Though i am looking for somehting on machine learning , currently i am into a work with one of my professors who wants to implement AI into some kind of pattern recognition in flow cytometry. Http:/ csnet.otago.ac.nz/cosc453/student tutorials/principal components.pdf. November 6, 2007.
charuaggarwal.net
Data Mining: The Textbook
http://www.charuaggarwal.net/Data-Mining.htm
Data Mining: The Textbook. Data Mining: The Textbook, Springer, May 2015. Charu C. Aggarwal. Comprehensive textbook on data mining: Table of Contents. Free for computers connected to subscribing institutions only). Buy hard-cover or PDF. PDF has embedded links for navigation on e-readers). Buy low-cost paperback edition. Instructions for computers connected to subscribing institutions only). The book carefully balances mathematical details and intuition. It contains the necessary mathematical details...
csse.monash.edu.au
Jon McCormack: Honours Projects
http://www.csse.monash.edu.au/~jonmc/teaching/honsProj.html
Here are my Honours Projects for 2015. Projects are based around topics in computational creativity, agent-based modelling, evolutionary computing, computer graphics, virtual reality, interactivity, wearable electronics and devices, and digital music. Projects will take place within. A new collaborative research studio based at Caulfield Campus. If you are interested in any of these areas please come and talk with me. If you would like to know more. Autonomous Robotic Indoor Drone (ARID). 1] http:/ diydr...
cmmlu.wikispaces.com
cmmlu - toolbox
http://cmmlu.wikispaces.com/toolbox
Skip to main content. Wikispaces Classroom is now free, social, and easier than ever. Try it today. Inference and ML Toolbox. Inference and Machine Learning Toolbox. There exist numerous excellent books, video lectures and online articles on empirical inference and machine learning methods on the internet. Therefore, the aim of this site is not to clone wikipedia, but it aims more at providing clues and hints what to look for, and where. Ie you have labelled data available. Support Vector Machines (SVMs).
adaptivevisualization.com
Learning Algorithms for Visualization
http://www.adaptivevisualization.com/LearningAlgorithms.html
Learning Algorithms for Visualization and User Interaction. Learning to Visualize Data and Interact. We are developing semi-supervised and unsupervised machine learning algorithms that collaborate with users to develop visualizations that the users can use. This work is based on the techniques from the following areas. Several areas of Nonlinear Dimensionality Reduction. Learning to Support another Learner. Autonomous Agents as Adaptive Perceptual Interfaces. Learning to Visualize and Interact.
inpho.cogs.indiana.edu
InPho Data Blog
https://inpho.cogs.indiana.edu/datablog
Word2Word: Similarity/Disparity Heat Map. Return to InPho Project. Topic Modeling Tutorial at JCDL 2015. May 14, 2015. Join the HathiTrust Research Center (HTRC) and InPhO Project for a half-day tutorial on HathiTrust data access and topic modeling at JCDL 2015 in Knoxville, TN on Sunday, June 21, 2015, 9am-12pm! Topic Exploration with the HTRC Data Capsule for Non-Consumptive Research. Jaimie Murdock, Jiaan Zeng and Robert McDonald. We draw your attention to the astonishingly low half-day tutorial fees.