University of Cambridge > Talks.cam > Inference Group > A New Machine Learning Library

Log in

University Account

External (via Google)

Information on

Subscribing to talks details

Finding a talk details

Adding a talk details

Disseminating talks details

Help and Documentation details

A New Machine Learning Library

Download to your calendar using vCal

Christian Steinruecken (University of Cambridge)
Monday 13 December 2010, 11:15-12:00
TCM Seminar Room, Cavendish Laboratory, Department of Physics.

If you have a question about this talk, please contact Emli-Mari Nel .

Note unusual time

This will be an informal talk about a new machine learning library written (from scratch) in Java. I will talk about some of its nice properties, e.g. how it makes use of Java generics. I will show some nice example code, e.g. [1] fully generic sampling algorithms (Metropolis, etc.) which can be instantiated in 1 line of code for any space and distribution; [2] several elegant ways of constructing fully generic Pitman-Yor and Dirichlet-Processes, such that samples can themselves be used as distributions; [3] interesting dualities between stick-breaking constructions and distributions over natural numbers; [4] how to define distributions over arbitrary grammars in very few lines of code.

This talk is part of the Inference Group series.

This talk is included in these lists:

Note that ex-directory lists are not shown.

Log in

🔐 Log In

Information on

ℹ️ Information

A New Machine Learning Library

This talk is included in these lists:

A New Machine Learning Library

Abstract

Included in Lists

Log in

🔐 Log In

Information on

ℹ️ Information

A New Machine Learning Library

This talk is included in these lists:

Other lists

Other talks

A New Machine Learning Library

Abstract

Included in Lists