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» A distributed machine learning framework
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PDP
2005
IEEE
15 years 5 months ago
Distributed Data Collection through Remote Probing in Windows Environments
Distributed Data Collector (DDC) is a framework to ease and automate repetitive executions of console applications (probes) over a set of LAN networked Windows personal computers....
Patrício Domingues, Paulo Marques, Lu&iacut...
COLT
1999
Springer
15 years 4 months ago
Drifting Games
We consider the problem of learning to predict as well as the best in a group of experts making continuous predictions. We assume the learning algorithm has prior knowledge of the ...
Robert E. Schapire
EDOC
2009
IEEE
15 years 3 months ago
Monitoring and Analyzing Influential Factors of Business Process Performance
Abstract--Business activity monitoring enables continuous observation of key performance indicators (KPIs). However, if things go wrong, a deeper analysis of process performance be...
Branimir Wetzstein, Philipp Leitner, Florian Rosen...
ICML
2009
IEEE
16 years 21 days ago
Geometry-aware metric learning
In this paper, we introduce a generic framework for semi-supervised kernel learning. Given pairwise (dis-)similarity constraints, we learn a kernel matrix over the data that respe...
Zhengdong Lu, Prateek Jain, Inderjit S. Dhillon
ALT
2008
Springer
15 years 8 months ago
A Uniform Lower Error Bound for Half-Space Learning
Abstract. We give a lower bound for the error of any unitarily invariant algorithm learning half-spaces against the uniform or related distributions on the unit sphere. The bound i...
Andreas Maurer, Massimiliano Pontil