Ch 6. Kernel Methods Pattern Recognition and Machine Learning, C. M. Bishop, 2006. Summarized by J. S. Kim Biointelligence Laboratory, Seoul National University.
CS 484 – Artificial Intelligence1 Announcements List of 5 source for research paper Homework 5 due Tuesday, October 30 Book Review due Tuesday, October.
By Fatine Bourkadi. Introduction to C4.5 Training Set Test set Data Sets results.
Recall , in linear methods for classification and regression
Announcements
Ch 6. Kernel Methods by Aizerman et al. (1964). Re-introduced in the context of large margin classifiers by Boser et al. (1992). Vapnik (1995), Burges.
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Map-Reduce for Machine Learning on Multicore C. Chu, S.K. Kim, Y. Lin, Y.Y. Yu, G. Bradski, A.Y. Ng, K. Olukotun (NIPS 2006) Shimin Chen Big Data Reading.
Self Organizing Maps
Shimin Chen Big Data Reading Group
Machine Learning
GAUSSIAN PROCESS REGRESSION FORECASTING OF COMPUTER NETWORK PERFORMANCE CHARACTERISTICS 1 Departments of Computer Science and Mathematics, 2 Department.
