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NIPS
2007
15 years 3 months ago
An Analysis of Convex Relaxations for MAP Estimation
The problem of obtaining the maximum a posteriori estimate of a general discrete random field (i.e. a random field defined using a finite and discrete set of labels) is known ...
Pawan Mudigonda, Vladimir Kolmogorov, Philip H. S....
BMCBI
2010
117views more  BMCBI 2010»
15 years 2 months ago
New decoding algorithms for Hidden Markov Models using distance measures on labellings
Background: Existing hidden Markov model decoding algorithms do not focus on approximately identifying the sequence feature boundaries. Results: We give a set of algorithms to com...
Daniel G. Brown 0001, Jakub Truszkowski
NIPS
2008
15 years 3 months ago
Global Ranking Using Continuous Conditional Random Fields
This paper studies global ranking problem by learning to rank methods. Conventional learning to rank methods are usually designed for `local ranking', in the sense that the r...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
DSN
2009
IEEE
15 years 8 months ago
Fluid modeling and control for server system performance and availability
Although server technology provides a means to support a wide range of online services and applications, their ad-hoc configuration poses significant challenges to the performan...
Luc Malrait, Sara Bouchenak, Nicolas Marchand
CDC
2009
IEEE
159views Control Systems» more  CDC 2009»
15 years 6 months ago
A distributed machine learning framework
Abstract— A distributed online learning framework for support vector machines (SVMs) is presented and analyzed. First, the generic binary classification problem is decomposed in...
Tansu Alpcan, Christian Bauckhage