글 수 75

A seminar titled " Multiple Kernel Learning" is held in KAIST.

Title :  Multiple Kernel Learning

Date : October 23 (Tuesday), 2012 14:00

Location : Wooribyul Seminar Room(#2201), Department of Electrical Engineering
Speaker : 
Dr. Maius Kloft/ Berlin Institute of Technology


In real-world applications such as bioinformatics and computer vision, data frequently arises from multiple heterogeneous sources or is represented by various complementary views -- or kernels! --, the  right choice of which being unknown. Unfortunately, classical approaches to multiple kernel learning (MKL) are rarely observed to outperform trivial 
baselines in practical applications. To this end, we have developed the Lp-norm MKL methodology, which turns out being both more efficient and more accurate than previous approaches to MKL, allowing us to deal with up to ten thousands of data points and thousands of kernels at the same time. Empirical applications of Lp-norm MKL to diverse, challenging problems from the domains of bioinformatics and computer vision show that Lp-norm MKL achieves accuracies that surpass the state-of-the-art. The proposed 
techniques are underpinned by deep foundations in the theory of learning: we prove tight lower and upper bounds on the local and global Rademacher complexities of Lp-norm MKL, which yield faster excess risk bounds than previous works.

In Dec 2012, Marius Kloft is starting as a joint postdoc at the Courant Institute of Mathematical Sciences (New York University) and the Memorial Sloan-Kettering Cancer Center, New York. Currently, he is a postdoc at the Machine Learning Laboratory, Berlin Institute of Technology (TU Berlin), headed by Klaus-Robert Müller. From 2007-2011, he was a PhD student in the machine learning program of TU Berlin, being co-advised by Gilles Blanchard and Peter L. Bartlett, whose learning theory group at UC Berkeley I visited from October 2009 to October 2010.   In 2006, he received a diploma (MSc equivalent) in mathematics from the University of Marburg with a thesis in algebraic geometry. 

15 [Seminar] An Alternative Approach To Handling Missing Data By Deleting Completely Observed Records file
2012-11-24 62959
14 [Seminar] Overview of Finding Needles in a Haystack file
2012-11-24 58678
[Seminar] Multiple Kernel Learning file
2012-10-20 156069
12 [Seminar] Toward Brain Computer Interfacing: Algorithms for on-line Differentiation of Neuroelectric Activities file
2012-09-24 85991
11 [Seminar] Activity Recognition for Real-world Scenarios file
2012-09-24 63813
10 [Seminar] Robust Kernel Regression for Machine Learning file
2012-06-25 62230
9 [Seminar] Green Machine Learning Methods file
2012-06-25 72930
8 [Workshop] Machine Learning Tutorial 2012 file
2012-01-14 62911
7 [ICOTEC2011] Keynote speech on ICOTEC 2011 file
2012-01-14 60449
6 [Seminar] Blind Source Separation with Binary Sources file
2011-09-21 54576
5 [Seminar] Bayesian Nonparametric Statistics and Nonparametric Priors file
2011-09-21 56100
4 [Seminar] Sparse Regression with Incentive file
2011-09-21 70741
3 Awarded Core Research Fund (NRF) file
2011-04-28 55863
2 [Taesup Kim] Overseas Visit Memoir Contest file
2011-04-28 70443
1 [Seokhwan Jo] Samsung Human Tech Paper Contest file
2011-03-29 52904