Return to the Statistics home page Popular Methods for Supervised Learning
Professor Trevor Hastie
Stanford University, California
with an introduction to data mining by
Dr Thomas Yee, University of Auckland
to be held at
The McMeekan Centre, Ruakura*,
Hamilton
Two technologies are on the frontiers of supervised learning: Boosting and Support Vector Machines. In this workshop, I will describe the essence of each from the point of view of a statistician. At the end of the day, we will find that they have a lot in common with techniques more familiar in statistics, such as logistic regression and regularized model search procedures. Indeed, we will find that boosting and SVMs have a lot in common with each other.
9.15 - 10.00 am |
Introduction to data mining by Thomas Yee, University of Auckland |
10.00 - 10.30 am |
Registration and morning tea |
10.30 - 12.30 pm |
Boosting |
12.30 - 2.00 pm |
LUNCH |
2.00-3.00 pm |
Support vector machines (SVM) |
3.00-3.30 pm |
Afternoon Tea |
| 3.30-4.30 pm | SVM continued |
| 4.30 pm | Drinks and Dinner at the Station |
To register click here.
*Directions to McMeekan Centre
Coming to AgResearch Ruakura in Hamilton East from Auckland.
Take the Southern Motorway.
At Taupiri(Just south of Huntly, past the mountain and over the bridge) you turn left [the sign says Hamilton East] on to the Gordonton Road. Continue directly along this route going through the village of Gordonton. As you enter Hamilton city boundary the road is named Tramway Road.
Follow this road until you reach a T junction, where you turn left through the gates of the Ruakura Campus, continue straight on, towards the McMeekan Centre, which is just left (north) of the tower block.
Here is a map of the approach routes to Hamilton which may be of assistance.
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