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Documents WALD LECTURE 1

1. 1 WALD LECTURE 1 MACHINE LEARNING Leo Breiman UCB Statistics [email protected] 2. 2 A ROAD MAP First--a brief overview of what we call machine learning but consists…

Documents 1 A Black-Box approach to machine learning Yoav Freund.

Slide 11 A Black-Box approach to machine learning Yoav Freund Slide 2 2 Why do we need learning? Computers need functions that map highly variable data: Speech recognition:…

Education Intro Presentation Oct 09

1. ‘ Coping with differences’. ‘Learning for all’‘Success for all’. 2.   3. What practice do you agree with? What practice do you not agree with? Why do you…

Data & Analytics Machine learning for_finance

1. Machine Learning in Finance Stefan Duprey / September 2013 2. Statistical learning scope Data Mining Exploration Univariate Pie chart, Histogram, etc… Multivariate Feature…

Documents Pedestrian Detection: introduction Approaches – Holistic detection: use local search window that.....

Slide 1 Pedestrian Detection: introduction Approaches – Holistic detection: use local search window that meets criterias – Part-based detection: pedestrian as a collection…

Documents Multiplicative weights method: A meta algorithm with applications to linear and semi-definite...

Slide 1 Multiplicative weights method: A meta algorithm with applications to linear and semi-definite programming Sanjeev Arora Princeton University Based upon: Fast algorithms…

Documents CS558 C OMPUTER V ISION Lecture XII: Face Detection and Recognition First part adapted from S....

Slide 1 CS558 C OMPUTER V ISION Lecture XII: Face Detection and Recognition First part adapted from S. Lazebnik Slide 2 F ACE DETECTION AND RECOGNITION DetectionRecognition…

Documents Latent Boosting for Action Recognition Zhi Feng Huang et al. BMVC 2011 2014. 6. 12. Jeany Son.

Slide 1 Latent Boosting for Action Recognition Zhi Feng Huang et al. BMVC 2011 2014. 6. 12. Jeany Son Slide 2 Background – learning with latent variables Multiple Instance…

Documents A true story of trees, forests & papers Journal club on Filter Forests for Learning Data-Dependent.....

Slide 1 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…