文档介绍：PG Day Presentation
Zhili Wu
Supervisor: Dr. Chunhung Li
Cosupervisor: Prof. Jiming Liu
1/Oct/2004 ~ 10/Jan/2005
Towards munity of Machine Learners Through Learning munities of Practice
Outline:
1. Introduction
Motivation & Objective
Background & Related Topics
Tentative Proposals
2. Experimental Study
BBS Data Study
MATLAB Programming Contest Platform Study
3. Future Work
4. Q & A
Towards munity of Machine Learners Through Learning munities of Practice
Motivation:
1. Social (Interaction) Networks grow from cyberspace
remarkably fast
with large scale participation and data
. Email, Blog, Instant Messaging (IM), and the WWW

2. Machine Learning algorithms
current trend : highly optimized and tuned
perform well in many classification, clustering scenarios
. kernel machines, ICA, LDA……
Towards munity of Machine Learners Through Learning munities of Practice
AI
Human
NN, GA, Agent ……
web mining …any more????
Motivation:
1. Social (Interaction) Networks grow from cyberspace
more underlying dynamics?
how to improve so as to municate conveniently?

2. Machine Learning algorithms
can they show collective power rather than (over-)fitness?
can they help (1), and benefit from their effort to (1)?
Towards munity of Machine Learners Through Learning munities of Practice
AI
Human
NN, GA, Agent ……
web mining …any more????
Objective:
work () technology enabled social activities are powerful, massive, learnable, going virtual ……
How can artificial learners like machine learners progress by getting inspiration from the social setting of online human learning?
Towards munity of Machine Learners Through Learning munities of Practice
More Specific Domain
1. Understand social interactions, mainly emphasize on online social interactions, through statistical and machine learning on data collected from munities (of practice).

2. Add more social factors learned from munity data into machine learners, hope they can form m