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» Scalable, updatable predictive models for sequence data
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CSMR
2010
IEEE
14 years 7 months ago
Does the Past Say It All? Using History to Predict Change Sets in a CMDB
To avoid unnecessary maintenance costs in large IT systems resulting from poorly planned changes, it is essential to manage and control changes to the system and to verify that all...
Sarah Nadi, Richard C. Holt, Serge Mankovski
115
Voted
JMLR
2008
137views more  JMLR 2008»
15 years 13 days ago
Online Learning of Complex Prediction Problems Using Simultaneous Projections
We describe and analyze an algorithmic framework for online classification where each online trial consists of multiple prediction tasks that are tied together. We tackle the prob...
Yonatan Amit, Shai Shalev-Shwartz, Yoram Singer
100
Voted
POLICY
2007
Springer
15 years 6 months ago
Adaptive Web Data Extraction Policies
Web data extraction is concerned, among other things, with routine data accessing and downloading from continuously-updated dynamic Web pages. There is a relevant trade-off between...
Giacomo Fiumara, Massimo Marchi, Alessandro Provet...
97
Voted
NIPS
2001
15 years 1 months ago
Model Based Population Tracking and Automatic Detection of Distribution Changes
Probabilistic mixture models are used for a broad range of data analysis tasks such as clustering, classification, predictive modeling, etc. Due to their inherent probabilistic na...
Igor V. Cadez, Paul S. Bradley
98
Voted
ICIP
2005
IEEE
16 years 2 months ago
Video coding with MC-EZBC and redundant-wavelet multihypothesis
Motion compensation with redundant-wavelet multihypothesis, in which multiple predictions that are diverse in transform phase contribute to a single motion estimate, is deployed i...
Joseph B. Boettcher, James E. Fowler