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NIPS
2007
13 years 11 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»
13 years 10 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
13 years 11 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
14 years 4 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»
14 years 2 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