R. Min, A. Bonner and Z. Zhang Modifying Kernels Using Label Information Improves SVM Classification Performance. IEEE Proceeding of ICMLA. 2007.

R. Min, A. Bonner and Z. Zhang Modifying Kernels Using Label Information Improves Protein Classification Performance.

G. Hinton and R. Min Regularized Autoencoder Networks. Results [ps].

Teaching Related to Machine Learning

• Fall 2007: CSC 2541 Topics in Machine Learning: Kernel Methods and Support Vector Machines.
• Summer 2007: CSC148 Assignment I made. String Kernel and Mismatch String Kernel (java code).
• Fall 2006: CSC 411h Machine Learning and Data Mining.

Recent Talks

• Introduction to Hinton's deep belief net and deep autoencoder for analyzing biological data.
  Donnelly Centre for Cellular and Biomolecular Research Group Meeting. University of Toronto. Feb 2008.
• Graphical Models: Exact Inference, Approximate Inference and Learning.
  Donnelly Centre for Cellular and Biomolecular Research Group Meeting. University of Toronto. Oct 2007.
• Kernel Learning.
  CIFAR Neural Computation & Adaptive Perception Summer School. Aug 2007.
• Introduction to Kernel Methods.
  Donnelly Centre for Cellular and Biomolecular Research Group Meeting. University of Toronto. May 2007.
• Kernel Learning Using Class Information.
  Machine Learning Group Meeting. Department of Computer Science. University of Toronto. Mar 2007.

Related Links

• Machine Learning Group at the U of T
• Prof. Zhaolei Zhang's Lab
• Perceptual Science Group at MIT
• Computer Vision Group at Berkeley