CMU Lecture on Hadoop Performance
Mining the MACHO dataset Markus Hegland, Mathematical Sciences Institute, ANU Margaret Kahn, ANU Supercomputer Facility.
Cmu Lecture on Hadoop Performance
AdaBoost Robert E. Schapire (Princeton University) Yoav Freund (University of California at San Diego) Presented by Zhi-Hua Zhou (Nanjing University)
131 Feed-Forward Artificial Neural Networks MEDINFO 2004, T02: Machine Learning Methods for Decision Support and Discovery Constantin F. Aliferis & Ioannis.
Stochastic Subgradient Approach for Solving Linear Support Vector Machines Jan Rupnik Jozef Stefan Institute.
Boosting and Differential Privacy Cynthia Dwork, Microsoft Research TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: A.
Adversarial Examples Google
Bootstrapping Goals: –Utilize a minimal amount of (initial) supervision –Obtain learning from many unlabeled examples (vs. selective sampling) General.
Bootstrapping
Learning Sets of Rules
