Scaling up practical learning algorithms (Lecture by Mikhail Bilenko)
Support vector machine
Automated Bug Assignment: Ensemble-based Machine Learning in Large Scale Industrial Contexts
Neural networks Introduction Fitting neural networks Going beyond single hidden layer Brief discussion of deep learning.
SA-1 Robotic Self-Perception and Body Scheme Learning Jürgen Sturm Christian Plagemann Wolfram Burgard University of Freiburg Germany.
Appendix_10_Datamining_Classification ( The following “eager” model is based on conditional probabilities. Prediction is done by taking the highest conditionally.
Using Analytic QP and Sparseness to Speed Training of Support Vector Machines
Aggregating Labels in Crowdsourcing Data CERN Openlab Summer Students Lightning Talks Sessions Maria Priisalu › 19/08/2015.
Improving Classification Accuracy Using Automatically Extracted Training Data Ariel Fuxman A. Kannan, A. Goldberg, R. Agrawal, P. Tsaparas, J. Shafer Search.
Center for Identification Technology Research (CITeR) An NSF Industry University Cooperative Research Center Automated Attendance and Exam Systems Dr.
Car 3drecontruction
Building text features for object image classification
