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DIS
2004
Springer
16 years 4 days ago
Mining Noisy Data Streams via a Discriminative Model
The two main challenges typically associated with mining data streams are concept drift and data contamination. To address these challenges, we seek learning techniques and models ...
Fang Chu, Yizhou Wang, Carlo Zaniolo
IPPS
2003
IEEE
16 years 1 days ago
Trust Modeling for Peer-to-Peer Based Computing Systems
The peer-to-peer approach to design large-scale systems has significant benefits including scalability, low cost of ownership, robustness, and ability to provide site autonomy. ...
Farag Azzedin, Muthucumaru Maheswaran
ISCAS
2002
IEEE
103views Hardware» more  ISCAS 2002»
15 years 11 months ago
A SPICE model for single electronics
With single-electron tunneling (SET) technology it is possible to build electronic circuits with extreme low power properties. These SET circuits must therefore operate in the sin...
R. van de Haar, J. Hoekstra, R. H. Klunder
NLPRS
2001
Springer
15 years 11 months ago
A Maximum Entropy Tagger with Unsupervised Hidden Markov Models
We describe a new tagging model where the states of a hidden Markov model (HMM) estimated by unsupervised learning are incorporated as the features in a maximum entropy model. Our...
Jun'ichi Kazama, Yusuke Miyao, Jun-ichi Tsujii
DATE
2000
IEEE
121views Hardware» more  DATE 2000»
15 years 11 months ago
Composite Signal Flow: A Computational Model Combining Events, Sampled Streams, and Vectors
The composite signal flow model of computation targets systems with significant control and data processing parts. It builds on the data flow and synchronous data flow models ...
Axel Jantsch, Per Bjuréus