WALD LECTURE 1
1 A Black-Box approach to machine learning Yoav Freund.
[email protected]@tp.edu.tw [email protected][email protected].
Intro Presentation Oct 09
Machine learning for_finance
Pedestrian Detection: introduction Approaches – Holistic detection: use local search window that meets criterias – Part-based detection: pedestrian as.
Multiplicative weights method: A meta algorithm with applications to linear and semi-definite programming Sanjeev Arora Princeton University Based upon:
A true story of trees, forests & papers Journal club on Filter Forests for Learning Data-Dependent Convolutional Kernels, Fanello et al. (CVPR ’14) 11/06/2014Loïc.
International HELIX Conference 2013 Thursday June 13 2013 Christian Helms Jørgensen, Roskilde University Marja-Leena Stenström, University of Jyväskylä,
Education for Tomorrow Annual Conference 2014, Harpa Opera House, Reykjavik The future of vocational education (VET) - learning from the Nordic countries.
What else can weak learners do? They can think !!.
Boosting of classifiers Ata Kaban. Motivation & beginnings Suppose we have a learning algorithm that is guaranteed with high probability to be slightly.
