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TSD
2010
Springer
15 years 4 months ago
A Priori and A Posteriori Machine Learning and Nonlinear Artificial Neural Networks
The main idea of a priori machine learning is to apply a machine learning method on a machine learning problem itself. We call it "a priori" because the processed data se...
Jan Zelinka, Jan Romportl, Ludek Müller
INFOCOM
2008
IEEE
16 years 1 months ago
Inside the New Coolstreaming: Principles, Measurements and Performance Implications
—The Peer-to-Peer (P2P) based video streaming has emerged as a promising solution for Internet video distribution. Leveraging the resource available at end users, this approach p...
Bo Li, Susu Xie, Yang Qu, Gabriel Yik Keung, Chuan...
HPDC
2000
IEEE
15 years 11 months ago
dQUOB: Managing Large Data Flows using Dynamic Embedded Queries
The dQUOB system satis es client need for speci c information from high-volume data streams. The data streams we speak of are the ow of data existing during large-scale visualizat...
Beth Plale, Karsten Schwan
IJCAI
1989
15 years 8 months ago
Input Data Management in Real-Time AI Systems
A real-time AI system in the real world needs to monitor an immense volume of data. To do this, the system must filter out much of the incoming data. However, it must remain re­ ...
Richard Washington, Barbara Hayes-Roth
ECML
2003
Springer
16 years 19 hour ago
Ensembles of Multi-instance Learners
In multi-instance learning, the training set comprises labeled bags that are composed of unlabeled instances, and the task is to predict the labels of unseen bags. Through analyzin...
Zhi-Hua Zhou, Min-Ling Zhang