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KDD
2009
ACM
224views Data Mining» more  KDD 2009»
15 years 7 months ago
Issues in evaluation of stream learning algorithms
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
João Gama, Raquel Sebastião, Pedro P...
107
Voted
CCS
2006
ACM
15 years 7 months ago
An effective defense against email spam laundering
Laundering email spam through open-proxies or compromised PCs is a widely-used trick to conceal real spam sources and reduce spamming cost in underground email spam industry. Spam...
Mengjun Xie, Heng Yin, Haining Wang
KDD
2000
ACM
101views Data Mining» more  KDD 2000»
15 years 6 months ago
Incremental quantile estimation for massive tracking
Data--call records, internet packet headers, or other transaction records--are coming down a pipe at a ferocious rate, and we need to monitor statistics of the data. There is no r...
Fei Chen, Diane Lambert, José C. Pinheiro
CVIU
2010
163views more  CVIU 2010»
15 years 3 months ago
Automated handwashing assistance for persons with dementia using video and a partially observable Markov decision process
This paper presents a real-time vision-based system to assist a person with dementia wash their hands. The system uses only video inputs, and assistance is given as either verbal ...
Jesse Hoey, Pascal Poupart, Axel von Bertoldi, Tam...
TASE
2008
IEEE
15 years 3 months ago
Modeling and Supervisory Control of Railway Networks Using Petri Nets
In this paper we deal with the problem of modeling railway networks with Petri nets so as to apply the theory of supervisory control for discrete event systems to automatically de...
Alessandro Giua, Carla Seatzu